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Snell, KIE, Levis, B, Damen, JAA, Dhiman, P, Debray, TPA, Hooft, L, Reitsma, JB, Moons, KGM, Collins, GS and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2023) Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA). BMJ, 381. e073538 - ?.

Andaur Navarro, CL, Damen, JA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KG and Hooft, L (2023) Systematic review finds "Spin" practices and poor reporting standards in studies on machine learning-based prediction models. Journal of Clinical Epidemiology.

Debray, TPA, Collins, GS, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Van Calster, B, Reitsma, JB and Moons, KGM (2023) Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration. BMJ, 380. e071058 - ?.

Debray, TPA, Collins, GS, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Van Calster, B, Reitsma, JB and Moons, KGM (2023) Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist. BMJ, 380.

Hughes, T, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Callaghan, MJ and Sergeant, JC (2023) Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records. BMJ Open, 13 (1). e052772 - ?.

Pate, A, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Collins, GS, van Smeden, M, Van Calster, B, Ensor, J and Martin, GP (2023) Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical Methods in Medical Research, 32 (3). pp. 555-571.

Archer, L ORCID: https://orcid.org/0000-0003-2504-2613, Koshiaris, C, Lay-Flurrie, S, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Stevens, R, Banerjee, A, Usher-Smith, JA, Clegg, A, Payne, RA, Hobbs, FDR, McManus, RJ, Sheppard, JP and STRAtifying Treatments In the multi-morbid Frail elderlY, (STRATIFY) (2022) Development and external validation of a risk prediction model for falls in patients with an indication for antihypertensive treatment: retrospective cohort study. BMJ: British Medical Journal, 379. e070918 - ?.

Hudda, MT, Wells, JCK, Adair, LS, Alvero-Cruz, JRA, Ashby-Thompson, MN, Ballesteros-Vásquez, MN, Barrera-Exposito, J, Caballero, B, Carnero, EA, Cleghorn, GJ, Davies, PSW, Desmond, M, Devakumar, D, Gallagher, D, Guerrero-Alcocer, EV, Haschke, F, Horlick, M, Ben Jemaa, H, Khan, AI, Mankai, A, Monyeki, MA, Nashandi, HL, Ortiz-Hernandez, L, Plasqui, G, Reichert, FF, Robles-Sardin, AE, Rush, E, Shypailo, RJ, Sobiecki, JG, Ten Hoor, GA, Valdés, J, Wickramasinghe, VP, Wong, WW, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Owen, CG, Whincup, PH and Nightingale, CM (2022) External validation of a prediction model for estimating fat mass in children and adolescents in 19 countries: individual participant data meta-analysis. BMJ, 378.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Dias, S, Donegan, S, Tierney, JF, Stewart, LA, Efthimiou, O and Phillippo, DM (2022) Using individual participant data to improve network meta-analysis projects. BMJ Evidence-Based Medicine.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Hattle, M, Collins, GS, Whittle, R ORCID: https://orcid.org/0000-0003-1793-0135 and Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282 (2022) Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcome. Statistics in Medicine.

Hattle, M, Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151, Trikalinos, T, Schmid, CH, Chen, Y ORCID: https://orcid.org/0000-0002-5919-743X, Jackson, D and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2022) Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews. Systematic Reviews, 11 (1). 149 - ?.

Papadimitropoulou, K, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Dekkers, OM, Stijnen, T and le Cessie, S (2022) MA-cont:pre/post effect size: An interactive tool for the meta-analysis of continuous outcomes using R Shiny. Research Synthesis Methods.

Singh, J, Gsteiger, S, Wheaton, L, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Abrams, KR, Gillies, CL and Bujkiewicz, S (2022) Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trials. BMC Medical Research Methodology, 22 (1). 186 - ?.

Dhiman, P, Ma, J, Andaur Navarro, CL, Speich, B, Bullock, G, Damen, JAA, Hooft, L, Kirtley, S, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Van Calster, B, Moons, KGM and Collins, GS (2022) Risk of bias of prognostic models developed using machine learning: a systematic review in oncology. Diagnostic and Prognostic Research, 6 (1). 13 - ?.

Bullock, GS, Mylott, J, Hughes, T, Nicholson, KF, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Collins, GS (2022) Just How Confident Can We Be in Predicting Sports Injuries? A Systematic Review of the Methodological Conduct and Performance of Existing Musculoskeletal Injury Prediction Models in Sport. Sports Medicine.

van Geloven, N, Giardiello, D, Bonneville, EF, Teece, L, Ramspek, CL, van Smeden, M, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, van Calster, B, Pohar-Perme, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Putter, H, Steyerberg, E and initiative, STRATOS (2022) Validation of prediction models in the presence of competing risks: a guide through modern methods. BMJ, 377. e069249 - ?.

Siegel, L, Murad, MH, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Bazerbachi, F, Wang, Z and Chu, H (2022) A Guide to Estimating the Reference Range From a Meta-Analysis Using Aggregate or Individual Participant Data. American Journal of Epidemiology, 191 (5). 948 - 956.

Wang, X, Li, Y, Shi, T, Ma, Y, Wahi-Singh, B, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Nair, H (2022) Global Disease Burden of Respiratory Syncytial Virus in Preterm Children in 2019: A Systematic Review and Individual Participant Data Meta-Analysis Protocol. The Journal of Infectious Diseases.

Dhiman, P, Ma, J, Andaur Navarro, CL, Speich, B, Bullock, G, Damen, JAA, Hooft, L, Kirtley, S, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Van Calster, B, Moons, KGM and Collins, GS (2022) Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review. BMC Medical Research Methodology, 22 (1). 101 - ?.

Farooq, S ORCID: https://orcid.org/0000-0003-2088-6876, Hattle, M, Dazzan, P, Kingstone, T ORCID: https://orcid.org/0000-0001-9179-2303, Ajnakina, O, Shiers, D, Nettis, MA, Lawrence, A, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and van der Windt, DA ORCID: https://orcid.org/0000-0002-7248-6703 (2022) Study protocol for the development and internal validation of Schizophrenia Prediction of Resistance to Treatment (SPIRIT): a clinical tool for predicting risk of treatment resistance to antipsychotics in first-episode schizophrenia. BMJ Open, 12 (4). e056420.

Farooq, S ORCID: https://orcid.org/0000-0003-2088-6876, Hattle, M, Dazzan, P, Kingstone, T ORCID: https://orcid.org/0000-0001-9179-2303, Ajnakina, O, Shiers, D, Nettis, MA, Lawrence, A, Riley, RD and van der Windt, DA ORCID: https://orcid.org/0000-0002-7248-6703 (2022) Study protocol for the development and internal validation of SPIRIT (Schizophrenia Prediction of Resistance to Treatment): A clinical tool for predicting risk of treatment resistance to anti-psychotics in First Episode Schizophrenia. medRxiv. (Unpublished)

Andaur Navarro, CL, Damen, JAA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R ORCID: https://orcid.org/0000-0002-1227-2703, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KGM and Hooft, L (2022) Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review. BMC Medical Research Methodology, 22 (1). 12 - ?.

Moriarty, AS, Meader, N, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Paton, LW, Dawson, S, Hendon, J, Chew-Graham, CA ORCID: https://orcid.org/0000-0002-9722-9981, Gilbody, S, Churchill, R, Phillips, RS, Ali, S and McMillan, D (2022) Predicting relapse or recurrence of depression: systematic review of prognostic models. British Journal of Psychiatry.

Ramspek, CL, Teece, L, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Evans, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, van Smeden, M, van Geloven, N and van Diepen, M (2021) Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic models. International Journal of Epidemiology, 51 (2). pp. 615-625.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Collins, GS, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Archer, L ORCID: https://orcid.org/0000-0003-2504-2613, Booth, S, Mozumder, SI, Rutherford, MJ, van Smeden, M, Lambert, PC and Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591 (2021) Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome. Statistics in Medicine.

Ban, L, Abdul Sultan, A, West, J, Tata, LJ, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Nelson-Piercy, C and Grainge, MJ (2021) External validation of a model to predict women most at risk of postpartum venous thromboembolism: Maternity clot risk. Thrombosis Research, 208. pp. 202-210.

Hoogland, J, IntHout, J, Belias, M, Rovers, MM, Riley, RD, E Harrell, F, Moons, KGM, Debray, TPA and Reitsma, JB (2021) A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint. Stat Med, 20 (26). pp. 5961-5981.

Foroutan, F, Guyatt, G, Trivella, M, Kreuzberger, N, Skoetz, N, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Roshanov, PS, Alba, AC, Sekercioglu, N, Canelo, C, Munn, Z, Brignardello-Petersen, R, Schünemann, HJ and Iorio, A (2021) GRADE concept paper 2: Concepts for Judging Certainty on the Calibration of Prognostic Models in a Body of Validation Studies. Journal of Clinical Epidemiology, 143. pp. 202-211.

Adab, P, Jordan, RE, Fitzmaurice, D, Ayres, JG, Cheng, KK, Cooper, BG, Daley, A, Dickens, A, Enocson, A, Greenfield, S, Haroon, S, Jolly, K, Jowett, S, Lambe, T, Martin, J, Miller, MR, Rai, K, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Sadhra, S, Sitch, A, Siebert, S, Stockley, RA and Turner, A (2021) Case-finding and improving patient outcomes for chronic obstructive pulmonary disease in primary care: the BLISS research programme including cluster RCT. Programme Grants for Applied Research, 9 (13). 1 - 148.

Andaur Navarro, CL, Damen, JAA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KGM and Hooft, L (2021) Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review. BMJ, 375. n2281 - ?.

Martin, GP, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Collins, GS and Sperrin, M (2021) Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance. Statistical Methods in Medical Research, 30 (12). pp. 2545-2561.

Bullock, GS, Hughes, T, Sergeant, JC, Callaghan, MJ, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Collins, GS (2021) Clinical Prediction Models in Sports Medicine: A Guide for Clinicians and Researchers. Journal of Orthopaedic and Sports Physical Therapy, 51 (10). 517 - 525.

Dhiman, P, Ma, J, Navarro, CA, Speich, B, Bullock, G, Damen, JA, Kirtley, S, Hooft, L, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Van Calster, B, Moons, KGM and Collins, GS (2021) Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved. Journal of Clinical Epidemiology, 138. pp. 60-72.

Stock, SJ, Horne, M, Bruijn, M, White, H, Heggie, R, Wotherspoon, L, Boyd, K, Aucott, L, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, A, Khalil, A, Shennan, A, Baaren, G-JV, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, B, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norman, J and Norrie, J (2021) A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort study. Health Technology Assessment, 25 (52). 1 - 168.

Allotey, J, Whittle, R ORCID: https://orcid.org/0000-0003-1793-0135, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Smuk, M, Townsend, R, von Dadelszen, P, Heazell, AEP, Magee, L, Smith, GCS, Sandall, J, Thilaganathan, B, Zamora, J, Riley, RD, Khalil, A, Thangaratinam, S and Collaborative Network, IPPIC (2021) External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database: an individual participant data meta-analysis. Ultrasound in Obstetrics and Gynecology.

Ramspek, CL, Steyerberg, EW, Riley, RD, Rosendaal, FR, Dekkers, OM, Dekker, FW and van Diepen, M (2021) Prediction or causality? A scoping review of their conflation within current observational research. Eur J Epidemiol.

Collins, GS, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and van Smeden, M (2021) Flaws in the development and validation of a covid-19 prediction model. Clinical Infectious Diseases, 73 (3). pp. 557-558.

Collins, GS, Dhiman, P, Andaur Navarro, CL, Ma, J, Hooft, L, Reitsma, JB, Logullo, P, Beam, AL, Peng, L, Van Calster, B, van Smeden, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Moons, KG (2021) Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence. BMJ Open, 11 (7). e048008 - ?.

Stock, SJ, Horne, M, Bruijn, M, White, H, Boyd, KA, Heggie, R, Wotherspoon, L, Aucott, L, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, AL, Khalil, A, Shennan, A, van Baaren, G-J, Hodgetts-Morton, V, Lavender, T, Schuit, E, Harper-Clarke, S, Mol, BW, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norman, JE and Norrie, J (2021) Development and validation of a risk prediction model of preterm birth for women with preterm labour symptoms (the QUIDS study): A prospective cohort study and individual participant data meta-analysis. PLoS Medicine, 18 (7). e1003686 - ?.

Moriarty, AS, Paton, LW, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Buckman, JEJ, Gilbody, S, Chew-Graham, CA ORCID: https://orcid.org/0000-0002-9722-9981, Ali, S, Pilling, S, Meader, N, Phillips, B, Coventry, PA, Delgadillo, J, Richards, DA, Salisbury, C and McMillan, D (2021) The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study. Diagnostic and Prognostic Research, 5 (1). 12 - ?.

Andaur Navarro, CL, Damen, JAA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R ORCID: https://orcid.org/0000-0002-1227-2703, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KGM and Hooft, L (2021) Completeness of reporting of clinical prediction models developed using supervised machine learning: A systematic review. arXiv.org. (Unpublished)

Hayden, JA and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2021) Research Note: Individual participant data (IPD) meta-analysis. Journal of Physiotherapy, 67 (3). 224 - 227.

Coomar, D, Hazlehurst, JM, Austin, F, Foster, C, Hitman, GA, Heslehurst, N, Iliodromiti, S, Betran, AP, Moss, N, Poston, L, Nirantharakumar, K, Roberts, T, Simpson, SA, Teede, HJ, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Allotey, J, Thangaratinam, S and International Weight Management in Pregnancy (i-WIP) Collaborati, . (2021) Diet and physical activity in pregnancy to prevent gestational diabetes: a protocol for an individual participant data (IPD) meta-analysis on the differential effects of interventions with economic evaluation. BMJ Open, 11 (6). e048119 - ?.

Van Calster, B, Wynants, L, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, van Smeden, M and Collins, GS (2021) Methodology over metrics: Current scientific standards are a disservice to patients and society. Journal of Clinical Epidemiology, 138. pp. 219-226.

Wynne-Jones, G ORCID: https://orcid.org/0000-0002-0283-6632, Myers, H ORCID: https://orcid.org/0000-0002-4004-6615, Hall, A, Littlewood, C ORCID: https://orcid.org/0000-0002-7703-727X, Hennings, S, Saunders, B ORCID: https://orcid.org/0000-0002-0856-1596, Bucknall, M ORCID: https://orcid.org/0000-0001-7230-7771, Jowett, S ORCID: https://orcid.org/0000-0001-8936-3745, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Wathall, S ORCID: https://orcid.org/0000-0002-7107-5785, Heneghan, C, Cook, J, Pincus, T, Mallen, CD ORCID: https://orcid.org/0000-0002-2677-1028, Roddy, E ORCID: https://orcid.org/0000-0002-8954-7082, Foster, NE ORCID: https://orcid.org/0000-0003-4429-9756, Beard, D, Lewis, J, Rees, J, Higginbottom, A and van der Windt, DA ORCID: https://orcid.org/0000-0002-7248-6703 (2021) Predicting pain and function outcomes in people consulting with shoulder pain: The PANDA-S clinical cohort and qualitative study protocol (ISRCTN 46948079). arXiv.org. (Unpublished)

Chappell, FM, Crawford, F, Horne, M, Leese, GP, Martin, A, Weller, D, Boulton, AJM, Abbott, C, Monteiro-Soares, M, Veves, A and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2021) Development and validation of a clinical prediction rule for development of diabetic foot ulceration: an analysis of data from five cohort studies. BMJ Open Diabetes Research and Care, 9 (1). pp. 1-18.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Debray, TPA, Collins, GS, Archer, L ORCID: https://orcid.org/0000-0003-2504-2613, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, van Smeden, M and Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591 (2021) Minimum sample size for external validation of a clinical prediction model with a binary outcome. Statistics in Medicine.

Levis, B, Hattle, M and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2021) PRIME-IPD SERIES Part 2. Retrieving, checking, and harmonizing data are underappreciated challenges in individual participant data meta-analyses. Journal of Clinical Epidemiology, 136. pp. 221-223.

de Jong, VMT, Moons, KGM, Eijkemans, MJC, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Debray, TPA (2021) Developing more generalizable prediction models from pooled studies and large clustered data sets. Statistics in Medicine, 40 (15). pp. 3533-3559.

Moriarty, AS, Meader, N, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Paton, LW, Chew-Graham, CA ORCID: https://orcid.org/0000-0002-9722-9981, Gilbody, S, Churchill, R, Phillips, RS, Ali, S and McMillan, D (2021) Prognostic models for predicting relapse or recurrence of major depressive disorder in adults. Cochrane Database of Systematic Reviews, 5. CD013491 - ?.

Collins, S, Peek, N, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Martin, G (2021) Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient. Journal of Clinical Epidemiology, 133. pp. 53-60.

van Smeden, M, Reitsma, JB, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Collins, GS and Moons, KG (2021) Clinical prediction models: diagnosis versus prognosis. Journal of Clinical Epidemiology, 132. 142 - 145.

Navarro, CLA, Damen, J, Takada, T, Dhiman, P, Collins, GS, Ma, J, Bajpai, R ORCID: https://orcid.org/0000-0002-1227-2703, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Hooft, L and Moons, KG (2021) Why are Machine Learning-based prediction models still unpopular in clinical practice? Diagnostic and Prognostic Research, 5 (S2). 37 - 37.

Martin, GP, Sperrin, M, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Buchan, I and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2021) Authors' reply to Sabour and Ghajari "Clinical prediction models to predict the risk of multiple binary outcomes: Methodological issues". Statistics in Medicine, 40 (7). 1861 - 1862.

Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Debray, TPA, Lambert, PC, Look, MP, Mamas, MA ORCID: https://orcid.org/0000-0001-9241-8890, Moons, KGM and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2021) Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model. Statistics in Medicine.

Crocker, TF, Clegg, A, Riley, RD, Lam, N, Bajpai, R, Jordão, M, Patetsini, E, Ramiz, R, Ensor, J, Forster, A and Gladman, JRF (2021) Community-based complex interventions to sustain independence in older people, stratified by frailty: a protocol for a systematic review and network meta-analysis. BMJ Open, 11 (2). e045637 - ?.

Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Archer, L ORCID: https://orcid.org/0000-0003-2504-2613, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Bonnett, LJ, Debray, TP, Phillips, B, Collins, GS and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2021) External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb. Journal of Clinical Epidemiology.

Albasri, A, Hattle, M, Koshiaris, C, Dunnigan, A, Paxton, B, Fox, SE, Smith, M, Archer, L, Levis, B, Payne, RA, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Roberts, N, Snell, KIE, Lay-Flurrie, S, Usher-Smith, J, Stevens, R, Hobbs, FDR, McManus, RJ and Sheppard, JP (2021) Association between antihypertensive treatment and adverse events: systematic review and meta-analysis. BMJ, 372. n189 - ?.

Hughes, T, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Callaghan, MJ and Sergeant, JC (2021) Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely-collected periodic health examination records. medRxiv. (Unpublished)

Jenkins, DA, Martin, GP, Sperrin, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Debray, TPA, Collins, GS and Peek, N (2021) Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems? Diagnostic and Prognostic Research, 5 (1). 1 - ?.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Van Calster, B and Collins, GS (2020) A note on estimating the Cox-Snell R2 from a reported C statistic (AUROC) to inform sample size calculations for developing a prediction model with a binary outcome. Statistics in Medicine.

Allotey, J, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Smuk, M, Hooper, R, Chan, CL, Ahmed, A, Chappell, LC, von Dadelszen, P, Dodds, J, Green, M, Kenny, L, Khalil, A, Khan, KS, Mol, BW, Myers, J, Poston, L, Thilaganathan, B, Staff, AC, Smith, GC, Ganzevoort, W, Laivuori, H, Odibo, AO, Ramírez, JA, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, AA, Seed, PT, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, RB, Salvesen, KÅ, Haavaldsen, C, Nagata, C, Rumbold, AR, Heinonen, S, Askie, LM, Smits, LJ, Vinter, CA, Magnus, PM, Eero, K, Villa, PM, Jenum, AK, Andersen, LB, Norman, JE, Ohkuchi, A, Eskild, A, Bhattacharya, S, McAuliffe, FM, Galindo, A, Herraiz, I, Carbillon, L, Klipstein-Grobusch, K, Yeo, S, Teede, HJ, Browne, JL, Moons, KG, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Thangaratinam, S (2020) Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis. Health Technology Assessment, 24 (72). 1 - 252.

Andaur Navarro, CL, Damen, JAAG, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R ORCID: https://orcid.org/0000-0002-1227-2703, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KG and Hooft, L (2020) Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques. BMJ Open, 10 (11). e038832 - ?.

Archer, L, Snell, KIE, Ensor, J, Hudda, MT, Collins, GS and Riley, RD (2020) Minimum sample size for external validation of a clinical prediction model with a continuous outcome. Statistics in Medicine.

Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Allotey, J, Smuk, M, Hooper, R, Chan, C, Ahmed, A, Chappell, LC, Von Dadelszen, P, Green, M, Kenny, L, Khalil, A, Khan, KS, Mol, BW, Myers, J, Poston, L, Thilaganathan, B, Staff, AC, Smith, GCS, Ganzevoort, W, Laivuori, H, Odibo, AO, Arenas Ramírez, J, Kingdom, J, Daskalakis, G, Farrar, D, Baschat, AA, Seed, PT, Prefumo, F, da Silva Costa, F, Groen, H, Audibert, F, Masse, J, Skråstad, RB, Salvesen, KÅ, Haavaldsen, C, Nagata, C, Rumbold, AR, Heinonen, S, Askie, LM, Smits, LJM, Vinter, CA, Magnus, P, Eero, K, Villa, PM, Jenum, AK, Andersen, LB, Norman, JE, Ohkuchi, A, Eskild, A, Bhattacharya, S, McAuliffe, FM, Galindo, A, Herraiz, I, Carbillon, L, Klipstein-Grobusch, K, Yeo, SA, Browne, JL, Moons, KGM, Riley, RD and Thangaratinam, S (2020) External validation of prognostic models predicting pre-eclampsia: individual participant data meta-analysis. BMC Medicine, 18 (1).

Martin, GP, Sperrin, M, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Buchan, I and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2020) Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches. Statistics in Medicine.

Townsend, R, Manji, A, Allotey, J, Heazell, A, Jorgensen, L, Magee, LA, Mol, BW, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Sandall, J, Smith, G, Patel, M, Thilaganathan, B, von Dadelszen, P, Thangaratinam, S and Khalil, A (2020) Can risk prediction models help us individualise stillbirth prevention? A systematic review and critical appraisal of published risk models. BJOG: An International Journal of Obstetrics and Gynaecology.

Collins, GS, van Smeden, M and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2020) COVID-19 prediction models should adhere to methodological and reporting standards. European Respiratory Journal.

Sauerbrei, W, Bland, M, Evans, SJW, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Royston, P, Schumacher, M and Collins, GS (2020) Doug Altman: Driving critical appraisal and improvements in the quality of methodological and medical research. Biometrical Journal.

Papadimitropoulou, K, Stijnen, T, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Dekkers, OM and le Cessie, S (2020) Meta-analysis of continuous outcomes: using pseudo IPD created from aggregate data to adjust for baseline imbalance and assess treatment-by-baseline modification. Research Synthesis Methods.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Legha, A ORCID: https://orcid.org/0000-0001-7389-5384, Jackson, D, Morris, TP, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, White, IR and Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151 (2020) One-stage individual participant data meta-analysis models for continuous and binary outcomes: comparison of treatment coding options and estimation methods. Statistics in Medicine, 39 (19). pp. 2536-2555.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Debray, T, Fisher, D, Hattle, M, Marlin, N, Hoogland, J, Gueyffier, F, Staessen, J, Wang, J, Moons, K, Reitsma, J and Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282 (2020) Individual participant data meta-analysis to examine interactions between treatment effect and participant-level covariates: statistical recommendations for conduct and planning. Statistics in Medicine.

Phillips, B, Morgan, JE, Haeusler, GM and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2020) Individual participant data validation of the PICNICC prediction model for febrile neutropenia. Archives of Disease in Childhood, 105 (5). pp. 439-445.

Wynants, L, Van Calster, B, Bonten, MMJ, Collins, GS, Debray, TPA, De Vos, M, Haller, MC, Heinze, G, Moons, KGM, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Schuit, E, Smits, LJM, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Steyerberg, EW, Wallisch, C and van Smeden, M (2020) Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal. BMJ, 369.

Booth, S, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Lambert, PC and Rutherford, MJ (2020) Temporal recalibration for improving prognostic model development and risk predictions in settings where survival is improving over time. International Journal of Epidemiology, 49 (4). pp. 1316-1325.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591, Harrell, FE, Martin, GP, Reitsma, JB, Moons, KGM, Collins, G and van Smeden, M (2020) Calculating the sample size required for developing a clinical prediction model. BMJ, 368. -.

Moriarty, AS, Castleton, J, Gilbody, S, McMillan, D, Ali, S, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Chew-Graham, CA ORCID: https://orcid.org/0000-0002-9722-9981 (2020) Predicting and preventing relapse of depression in primary care. British Journal of General Practice, 70 (691). 54 - 55.

Foroutan, F, Guyatt, G, Zuk, V, Vandvik, PO, Alba, AC, Mustafa, R, Vernooij, R, Rodriguez, I, Munn, Z, Roshanov, P, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Schandelmaier, S, Kujipers, T, Siemieniuk, R, Avbar, CC, Schunemann, H and Iorio, A (2020) Use of GRADE for assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks. Journal of Clinical Epidemiology.

Hong, C, Duan, R, Zeng, L, Hubbard, RA, Lumley, T, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Chu, H, Kimmel, SE and Chen, Y (2020) Galaxy Plot: A New Visualization Tool of Bivariate Meta-Analysis Studies. American Journal of Epidemiology.

Dickens, AP, Fitzmaurice, DA, Adab, P, Sitch, A, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Enocson, A and Jordan, RE (2020) Accuracy of Vitalograph lung monitor as a screening test for COPD in primary care. NPJ Primary Care Respiratory Medicine, 30 (1). 2 - ?.

Moriarty, AS, Meader, N, Gilbody, S, Chew-Graham, CA ORCID: https://orcid.org/0000-0002-9722-9981, Churchill, R, Ali, S, Phillips, RS, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and McMillan, D (2019) Prognostic models for predicting relapse or recurrence of depression. Cochrane Database of Systematic Reviews.

Hayden, JA, Wilson, MN, Stewart, S, Cartwright, JL, Smith, AO, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, van Tulder, M, Bendix, T, Cecchi, F, Costa, LOP, Dufour, N, Ferreira, ML, Foster, NE ORCID: https://orcid.org/0000-0003-4429-9756, Gudavalli, MR, Hartvigsen, J, Helmhout, P, Kool, J, Koumantakis, GA, Kovacs, FM, Kuukkanen, T, Long, A, Macedo, LG, Machado, LAC, Maher, CG, Mehling, W, Morone, G, Peterson, T, Rasmussen-Barr, E, Ryan, CG, Sjögren, T, Smeets, R, Staal, JB, Unsgaard-Tøndel, M, Wajswelner, H and Yeung, EW (2019) Exercise treatment effect modifiers in persistent low back pain: an individual participant data meta-analysis of 3514 participants from 27 randomised controlled trials. British Journal of Sports Medicine, 15 (21).

Hayden, JA, Wilson, MN, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Iles, R, Pincus, T and Ogilvie, R (2019) Individual recovery expectations and prognosis of outcomes in non-specific low back pain: prognostic factor review. Cochrane Database of Systematic Reviews, 2019 (11).

de Jong, VMT, Moons, KGM, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Smith, CT, Marson, AG, Eijkemans, MJC and Debray, TPA (2019) Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example. Research Synthesis Methods.

Adab, P, Fitzmaurice, D, Martin, J, Sitch, A, Cheng, K, Daley, A, Dickens, A, Enocson, A, Greenfield, S, Jolly, K, Jowett, S, Miller, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Siebert, S, Stockley, R, Turner, A, Haroon, S and Jordan, R (2019) Effect of screening for undiagnosed COPD on respiratory hospitalisation and mortality; 4 year follow up of the TargetCOPD trial. European Respiratory Journal, 54 (63).

Jordan, R, Fitzmaurice, D, Martin, J, Ayres, J, Cheng, K, Cooper, B, Daley, A, Dickens, A, Enocson, A, Greenfield, S, Miller, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Siebert, S, Stockley, R, Turner, A and Adab, P (2019) Development of the Birmingham Lung Improvement Studies (BLISS) prognostic score for COPD patients in primary care: data from the Birmingham COPD cohort. European Respiratory Journal, 54.

Debray, T, Damen, J, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Snell, K, Reitsma, J, Hooft, L, Collins, G and Moons, K (2019) A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes. Statistical Methods in Medical Research, 28 (9). pp. 2768-2786.

van der Windt, DA ORCID: https://orcid.org/0000-0002-7248-6703, Burke, DL, Babatunde, OO ORCID: https://orcid.org/0000-0002-5064-6446, Hattle, M, McRobert, C, Littlewood, C ORCID: https://orcid.org/0000-0002-7703-727X, Wynne-Jones, G ORCID: https://orcid.org/0000-0002-0283-6632, Chesterton, L, van der Heijden, GJMG, Winters, JC, Rhon, DI, Bennell, K, Roddy, E ORCID: https://orcid.org/0000-0002-8954-7082, Heneghan, C, Beard, D, Rees, JL and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2019) Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis. Diagnostic and Prognostic Research, 3. 15 -?.

Hudda, M, Fewtrell, M, Haroun, D, Lum, S, Williams, J, Wells, J, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Owen, C, Cook, D, Rudnicka, A, Whincup, P and Nightingale, C (2019) An individual participant data (IPD) meta-analysis to develop and validate a prediction model for fat mass in children and adolescents. BMJ, 366 (I4293). 1 - 10.

Debray, TPA, de Jong, VMT, Moons, KGM and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2019) Evidence synthesis in prognosis research. Diagnostic and Prognostic Research, 3.

Mackie, FL, Whittle, R, Morris, RK, Hyett, J, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Kilby, MD (2019) First trimester ultrasound measurements and maternal serum biomarkers as prognostic factors in monochorionic twins: a cohort study. Diagnostic and Prognostic Research, 3 (1).

Bonnett, LJ, Snell, KIE, Collins, GS and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2019) Guide to presenting clinical prediction models for use in clinical settings. BMJ, 365.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Snell, KI, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151, Harrell, FE, Moons, KG and Collins, GS (2019) Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes. Statistics in Medicine, 38 (7). pp. 1276-1296.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Snell, KI, Ensor, J, Burke, DL, Harrell, FE, Moons, KGM and Collins, GS (2019) Minimum sample size for developing a multivariable prediction model: Part II-binary and time-to-event outcomes. Statistics in Medicine, 38 (7). pp. 1276-1296.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Snell, KIE, Ensor, J, Burke, DL, Harrell, FE, Moons, KGM and Collins, GS (2019) Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes. Statistics in Medicine, 38 (7). 1262 - 1275.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KGM, Snell, KIE, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Hooft, L, Altman, DG, Hayden, J, Collins, GS and Debray, TPA (2019) A guide to systematic review and meta-analysis of prognostic factor studies. BMJ, 364.

Wolff, RF, Moons, KGM, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Whiting, PF, Westwood, M, Collins, GS, Reitsma, JB, Kleijnen, J, Mallett, S and PROBAST Group†, . (2019) PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies. Annals of Internal Medicine, 170 (1). 51 - 58.

Moons, K, Wolff, R, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Whiting, P, Westwood, M, Collins, G, Reitsma, J, Kleijnen, J and Mallett, S (2019) PROBAST: a tool to assess risk of bias and applicability of prediction model studies – explanation and elaboration. Annals of Internal Medicine, 170 (1). pp. 1-33.

Chadi, SA, Malcomson, L, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Vaccaro, CA, Rossi, GL, Daniels, IR, Smart, NJ, Osborne, ME, Beets, GL, Maas, M, Bitterman, DS, Du, K, Gollins, S, Sun Myint, A, Smith, FM, Saunders, MP, Scott, N, O'Dwyer, ST, de Castro Araujo, RO, Valadao, M, Lopes, A, Hsiao, C-W, Lai, C-L, Smith, RK, Paulson, EC, Appelt, A, Jakobsen, A, Wexner, SD, Habr-Gama, A, Sao Julião, G, Perez, R and Renehan, AG (2018) Factors affecting local regrowth after watch and wait for patients with a clinical complete response following chemoradiotherapy in rectal cancer (InterCoRe consortium): an individual participant data meta-analysis. The Lancet Gastroenterology and Hepatology, 3 (12). 825 - 836.

Chadi, SA, Malcomson, L, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Vaccaro, CA, Rossi, GL, Daniels, IR, Smart, NJ, Osborne, ME, Beets, GL, Maas, M, Bitterman, DS, Du, K, Gollins, S, Myint, AS, Smith, FM, Saunders, MP, Scott, N, O'Dwyer, ST, Otavio de Castro Araujo, R, Valadao, M, Lopes, A, Hsiao, C-W, Lai, C-L, Smith, RK, Paulson, EC, Appelt, A, Jakobsen, A, Wexner, SD, Habr-Gama, A, Sao Julião, G, Perez, RO and Renehan, AG (2018) Factors affecting local regrowth after watch and wait for patients with a clinical complete response following chemoradiotherapy in rectal cancer (InterCoRe consortium): an individual participant data meta-analysis. Lancet Gastroenterology and Hepatology, 3 (12). 825 - 836.

Snell, KI, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Debray, TP, Moons, KG and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures? Stat Methods Med Res, 27 (11). pp. 3505-3522.

Hughes, T, Sergeant, JC, van der Windt, DA, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Callaghan, MJ (2018) Periodic Health Examination and Injury Prediction in Professional Football (Soccer): Theoretically, the Prognosis is Good. Sports Medicine, 48 (11). pp. 2443-2448.

Yu, D ORCID: https://orcid.org/0000-0002-8449-7725, Jordan, KP ORCID: https://orcid.org/0000-0003-4748-5335, Snell, K, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Bedson, J, Edwards, JJ, Mallen, CD ORCID: https://orcid.org/0000-0002-2677-1028, Tan, V, Ukachukwu, V, Prieto-Alhambra, D, Walker, C and Peat, G ORCID: https://orcid.org/0000-0002-9008-0184 (2018) Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink. Annals of the Rheumatic Diseases.

Chadi, S, Malcolmson, L, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Vaccaro, C, Rossi, G, Daniels, I, Smart, N, Osborne, M, Beets, G, Maas, M, Bitterman, D, Du, K, Gollins, S, Sun Myint, A, Smith, F, Saunders, M, Scott, N, O'Dwyer, S, Otavio de Castro Araujo, R, Valadao, M, Lopes, A, Hsiao, CW, Lai, CL, Smith, R, Carter Poulson, E, Appelt, A, Jakobsen, A, Wexner, S, Habr-Gama, A, Sao Juliao, G, Perez, R and Renehan, A (2018) Factors affecting local regrowth after watch and wait for patients with a clinical complete response following chemoradiotherapy in rectal cancer (InterCoRe consortium): an individual participant data meta-analysis. The Lancet Gastroenterology and Hepatology.

Moons, KG, Hooft, L, Williams, K, Hayden, JA, Damen, JA and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Implementing systematic reviews of prognosis studies in Cochrane. Cochrane Database of Systematic Reviews, 10.

Whittle, RL, Peat, G, Belcher, J, Collins, G and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Measurement error and timing of predictor values for multivariable risk prediction models are poorly reported. Journal of Clinical Epidemiology, 102. pp. 38-49.

Westby, MJ, Dumville, JC, Stubbs, N, Norman, G, Wong, JK, Cullum, N and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Protease activity as a prognostic factor for wound healing in venous leg ulcers. Cochrane Database of Systematic Reviews, 9. CD012841 - ?.

Potts, JE, Kwok, CS, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Rashid, M, Kadam, UT, Kinnaird, T, Curzen, N, Pancholy, SB, van der Windt, DA, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Bagur, R and Mamas, MA ORCID: https://orcid.org/0000-0001-9241-8890 (2018) Temporal Changes in Comorbidity Burden in Patients Having Percutaneous Coronary Intervention and Impact on Prognosis. American Journal of Cardiology, 122 (5). pp. 712-722.

Legha, A ORCID: https://orcid.org/0000-0001-7389-5384, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Snell, KIE, Morris, TP and Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151 (2018) Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage models. Statistics in Medicine.

Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Snell, KIE, van der Windt, DA ORCID: https://orcid.org/0000-0002-7248-6703 and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Guidance for deriving and presenting percentage study weights in meta-analysis of test accuracy studies. Research Synthesis Methods, 9 (2). 163 - 178.

Wynants, L, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Timmerman, D and Van Calster, B (2018) Random-effects meta-analysis of the clinical utility of tests and prediction models. Statistics in Medicine, 37 (12). pp. 2034-2052.

Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Burke, DL, Snell, KIE, Hemming, K and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Simulation-based power calculations for planning a two-stage individual participant data meta-analysis. BMC Medical Research Methodology, 18 (1). 41 -?.

Stock, SJ, Wotherspoon, LM, Boyd, KA, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, AL, Khalil, A, Shennan, A, Hodgetts Morton, V, Lavender, T, Khan, K, Harper-Clarke, S, Mol, B, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norrie, J and Norman, J (2018) Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study. BMJ Open, 8 (4). e020795 - ?.

Stock, SJ, Wotherspoon, LM, Boyd, KA, Morris, RK, Dorling, J, Jackson, L, Chandiramani, M, David, AL, Khalil, A, Shennan, A, Hodgetts Morton, V, Lavender, T, Khan, K, Harper-Clarke, S, Mol, BW, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Norrie, J and Norman, JE (2018) Quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 1: Individual participant data meta-analysis and health economic analysis. BMJ Open, 8 (4). e020796 - ?.

Copas, J, Jackson, D, White, I and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) The role of secondary outcomes in multivariate meta-analysis. Journal of the Royal Statistical Society: Series A, 67 (5). pp. 1177-1205.

Debray, TPA, Moons, KGM and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: A comparison of new and existing tests. Research Synthesis Methods, 9 (1). 41 - 50.

Hong, C, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Chen, Y (2018) An improved method for bivariate meta-analysis when within-study correlations are unknown. Research Synthesis Methods, 9 (1). 73 - 88.

Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Deeks, JJ, Martin, EC and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Meta-analysis of test accuracy studies using imputation for partial reporting of multiple thresholds. Research Synthesis Methods, 9 (1). pp. 100-115.

Winzenberg, T, Lamberg-Allardt, C, El-Hajj Fuleihan, G, Mølgaard, C, Zhu, K, Wu, F and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2018) Does vitamin D supplementation improve bone density in vitamin D-deficient children? Protocol for an individual patient data meta-analysis. BMJ Open, 8 (1). e019584 - ?.

Holden, MA, Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151, Runhaar, J, van der Windt, DA, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Dziedzic, KS, Legha, A, Evans, AL, Abbott, JH, Baker, K, Brown, J, Bennell, KL, Bossen, D, Brosseau, L, Chaipinyo, K, Christensen, R, Cochrane, T, de Rooij, M, Doherty, M, French, HP, Hickson, S, Hinman, RS, Hopman-Rock, M, Hurley, MV, Ingram, C, Knoop, J, Krauss, I, McCarthy, C, Messier, SP, Patrick, DL, Sahin, N, Talbot, LA, Taylor, R, Teirlinck, CH, van Middelkoop, M, Walker, C, Foster, NE ORCID: https://orcid.org/0000-0003-4429-9756 and OA Trial Bank, . (2017) Subgrouping and TargetEd Exercise pRogrammes for knee and hip OsteoArthritis (STEER OA): a systematic review update and individual participant data meta-analysis protocol. BMJ Open, 7 (12). e018971 - ?.

Allotey, J, Snell, KIE, Chan, C, Hooper, R, Dodds, J, Rogozinska, E, Khan, KS, Poston, L, Kenny, L, Myers, J, Thilaganathan, B, Chappell, L, Mol, BW, Von Dadelszen, P, Ahmed, A, Green, M, Poon, L, Khalil, A, Moons, KGM, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Thangaratinam, S and Collaborative Network, IPPIC (2017) External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol. Diagnostic and Prognostic Research, 1. 16 - ?.

Willis, BH and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2017) Measuring the statistical validity of summary meta-analysis and meta-regression results for use in clinical practice. Statistics in Medicine, 36 (21). 3283 -3301.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Jackson, D, Salanti, G, Burke, DL, Price, M, Kirkham, J and White, IR (2017) Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples. BMJ, 358. j3932.

Jackson, D, Bujkiewicz, S, Law, M, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and White, IR (2017) A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects. Biometrics, 74 (2). 548 - 556.

Rogozińska, E, Marlin, N, Jackson, L, Rayanagoudar, G, Ruifrok, AE, Dodds, J, Molyneaux, E, van Poppel, MN, Poston, L, Vinter, CA, McAuliffe, F, Dodd, JM, Owens, J, Barakat, R, Perales, M, Cecatti, JG, Surita, F, Yeo, S, Bogaerts, A, Devlieger, R, Teede, H, Harrison, C, Haakstad, L, Shen, GX, Shub, A, Beltagy, NE, Motahari, N, Khoury, J, Tonstad, S, Luoto, R, Kinnunen, TI, Guelfi, K, Facchinetti, F, Petrella, E, Phelan, S, Scudeller, TT, Rauh, K, Hauner, H, Renault, K, de Groot, CJ, Sagedal, LR, Vistad, I, Stafne, SN, Mørkved, S, Salvesen, KÅ, Jensen, DM, Vitolo, M, Astrup, A, Geiker, NR, Kerry, S, Barton, P, Roberts, T, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Coomarasamy, A, Mol, BW, Khan, KS and Thangaratinam, S (2017) Effects of antenatal diet and physical activity on maternal and fetal outcomes: individual patient data meta-analysis and health economic evaluation. Health Technology Assessment, 21 (41). 1 -158.

Takwoingi, Y, Guo, B, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Deeks, JJ (2017) Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse data. Statistical Methods in Medical Research, 26 (4). 1896 -1911.

Rogozinska, E, Marlin, N, Pilar, A, Astrup, A, Barakat, R, Bogaerts, A, Ceccati, JG, Devlieger, R, El Beltagy, N, Facchinetti, F, Geiker, NRW, Guelfi, K, Haakstad, LAH, Cheryce, H, Hans, H, Jensen, DM, Kinnunen, TI, Khoury, J, Luoto, R, McAuliffe, F, Motahari, N, Morkved, S, Owens, J, Perales, M, Elisabetta, P, Phelan, S, Poston, L, Rauh, K, Renault, KM, Sagedal, LR, Salvesen, K, Shen, GX, Shub, A, Scudeller, T, Surita, F, Stafne, SN, Teede, H, Tonstad, S, van Poppel, MNM, Vinter, CA, Vistad, I, Yeo, S, Dodds, J, Kerry, S, Jackson, L, Barton, P, Molyneaux, E, Alba, A, Rayanagoudar, G, Ruifrok, AE, Roberts, T, de Groot, CGM, Coomarasamy, A, Mol, BW, Zamora, J, Khan, KS and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2017) Effect of diet and physical activity based interventions in pregnancy on gestational weight gain and pregnancy outcomes: meta-analysis of individual participant data from randomised trials. BMJ, 358.

Yamaguchi, Y, Maruo, K, Partlett, C and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2017) A random effects meta-analysis model with Box-Cox transformation. BMC Medical Research Methodology, 17 (1). 109 -?.

Haroon, S, Adab, P, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Fitzmaurice, D and Jordan, RE (2017) Predicting risk of undiagnosed COPD: development and validation of the TargetCOPD score. European Respiratory Journal, 49 (6).

Bilagi, A, Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Mills, I, Kilby, MD and Morris, RK (2017) Association of maternal serum PAPP-A levels, nuchal translucency and crown rump length in first trimester with adverse pregnancy outcomes: Retrospective cohort study. Prenatal Diagnosis, 37 (7). pp. 705-711.

Thangaratinam, S, Allotey, J, Marlin, N, Mol, BW, Von Dadelszen, P, Ganzevoort, W, Akkermans, J, Ahmed, A, Daniels, J, Deeks, J, Ismail, K, Barnard, AM, Dodds, J, Kerry, S, Moons, C, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Khan, KS (2017) Development and validation of Prediction models for Risks of complications in Early-onset Pre-eclampsia (PREP): a prospective cohort study. Health Technology Assessment, 21 (18). 1 - 100.

Thangaratinam, S, Allotey, J, Marlin, N, Dodds, J, Cheong-See, F, von Dadelszen, P, Ganzevoort, W, Akkermans, J, Kerry, S, Mol, BW, Moons, KGM, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Khan, KS (2017) Prediction of complications in early-onset pre-eclampsia (PREP): development and external multinational validation of prognostic models. BMC Medicine, 15 (1). 68 -?.

Elia, EG, Robb, AO, Hemming, K, Price, MJ, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, French-Constant, A, Denison, FC, Kilby, MD, Morris, RK and Stock, SJ (2017) Is the first urinary albumin/creatinine ratio (ACR) in women with suspected pre-eclampsia a prognostic factor for maternal and neonatal adverse outcome? A retrospective cohort study. Acta Obstetricia et Gynecologica Scandinavica, 96 (5). pp. 580-588.

Allotey, J, Marlin, N, Mol, BW, Von Dadelszen, P, Ganzevoort, W, Akkermans, J, Ahmed, A, Daniels, J, Deeks, J, Ismail, K, Barnard, AM, Dodds, J, Kerry, S, Moons, C, Khan, KS, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Thangaratinam, S (2017) Development and validation of prediction models for risk of adverse outcomes in women with early-onset pre-eclampsia: protocol of the prospective cohort PREP study. Diagnostic and Prognostic Research, 1 (6). 6 - ?.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Jackson, D and Burke, DL (2017) Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data models. Stat Methods Med Res, 27 (10). pp. 2885-2905.

Debray, TPA, Damen, JAAG, Snell, KIE, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Hooft, L, Reitsma, JB, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Moons, KGM (2017) A guide to systematic review and meta-analysis of prediction model performance. British Medical Journal, 356.

Sultan, AA, West, J, Grainge, MJ, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Tata, LJ, Stephansson, O, Fleming, KM, Nelson-Piercy, C and Ludvigsson, JF (2016) Development and validation of a risk prediction model for venous thromboembolism in postpartum women: A multinational cohort study. BMJ, 355.

Hua, H, Burke, DL, Crowther, MJ, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Tudur Smith, C and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2016) One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information. Statistics in Medicine, 36 (5). pp. 772-789.

Bujkiewicz, S, Thompson, JR, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Abrams, KR (2016) Bayesian meta-analytical methods to incorporate multiple surrogate endpoints in drug development process. Stat Med, 35 (7). 1063 - 1089.

Burke, DL ORCID: https://orcid.org/0000-0003-2803-1151, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282 and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2016) Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ. Statistics in Medicine, 36 (5). pp. 855-875.

Partlett, C and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2016) Random effects meta-analysis: Coverage performance of 95% confidence and prediction intervals following REML estimation. Statistics in Medicine, 36 (2). pp. 301-317.

Rees, F, Doherty, M, Lanyon, P, Davenport, G, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Zhang, W and Grainge, MJ (2016) Early clinical features in Systemic Lupus Erythematosus: can they be used to achieve earlier diagnosis? A risk prediction model. Arthritis Care and Research, 69 (6). pp. 833-841.

Jordan, RE, Adab, P, Sitch, A, Enocson, A, Blissett, D, Jowett, S, Marsh, J, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Miller, MR, Cooper, BG, Turner, AM, Jolly, K, Ayres, JG, Haroon, S, Stockley, R, Greenfield, S, Siebert, S, Daley, AJ, Cheng, KK and Fitzmaurice, D (2016) Targeted case finding for chronic obstructive pulmonary disease versus routine practice in primary care (TargetCOPD): a cluster-randomised controlled trial. Lancet Respiratory Medicine, 4 (9). 720 -730.

Adab, P, Fitzmaurice, DA, Dickens, AP, Ayres, JG, Buni, H, Cooper, BG, Daley, AJ, Enocson, A, Greenfield, S, Jolly, K, Jowett, S, Kalirai, K, Marsh, JL, Miller, MR, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Siebert, WS, Stockley, RA, Turner, AM, Cheng, KK and Jordan, RE (2016) Cohort Profile: The Birmingham Chronic Obstructive Pulmonary Disease (COPD) Cohort Study. International Journal of Epidemiology, 46 (1).

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Snell, KIE, Debray, TPA, Altman, DG, Moons, KGM and Collins, GS (2016) External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges. BMJ, 353.

Phillips, RS, Sung, L, Ammann, RA, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Castagnola, E, Haeusler, GM, Klaassen, R, Tissing, WJ, Lehrnbecher, T, Chisholm, J, Hakim, H, Ranasinghe, N, Paesmans, M, Hann, IM and Stewart, LA (2016) Predicting microbiologically defined infection in febrile neutropenic episodes in children: global individual participant data multivariable meta-analysis. British Journal of Cancer, 114 (12). e17 - ?.

Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moore, D, Snell, KI, Bayliss, S and Fitzmaurice, D (2016) Systematic review of prognostic models for recurrent venous thromboembolism (VTE) post-treatment of first unprovoked VTE. BMJ Open, 6 (5). e011190 - ?.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2016) Explicit inclusion of treatment in prognostic modelling was recommended in observational and randomised settings. Journal of Clinical Epidemiology, 78. pp. 90-100.

Burke, DL, Bujkiewicz, S and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2016) Bayesian bivariate meta-analysis of correlated effects: Impact of the prior distributions on the between-study correlation, borrowing of strength, and joint inferences. Stat Methods Med Res, 27 (2). pp. 428-450.

Phillips, RS, Sung, L, Ammann, RA, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Castagnola, E, Haeusler, GM, Klaassen, R, Tissing, WJE, Lehrnbecher, T, Chisholm, J, Hakim, H, Ranasinghe, N, Paesmans, M, Hann, IM, Stewart, LA and PICNICC Collaboration, . (2016) Predicting microbiologically defined infection in febrile neutropenic episodes in children: global individual participant data multivariable meta-analysis. British Journal of Cancer, 114 (6). 623 - 630.

Jolly, K, Majothi, S, Sitch, AJ, Heneghan, NR, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Moore, DJ, Bates, EJ, Turner, AM, Bayliss, SE, Price, MJ, Singh, SJ, Adab, P, Fitzmaurice, DA and Jordan, RE (2016) Self-management of health care behaviors for COPD: a systematic review and meta-analysis. International Journal of Chronic Obstructive Pulmonary Disease, 11. 305 -326.

Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Jowett, S, Monahan, M, Snell, KIE, Bayliss, S, Moore, D and Fitzmaurice, D (2016) Prediction of risk of recurrence of venous thromboembolism following treatment for a first unprovoked venous thromboembolism: systematic review, prognostic model and clinical decision rule, and economic evaluation. Health Technology Assessment, 20 (12). i - 190.

Simmons, B, Saleem, J, Hill, A, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Cooke, GS (2016) Risk of Late Relapse or Reinfection With Hepatitis C Virus After Achieving a Sustained Virological Response: A Systematic Review and Meta-analysis. Clinical Infectious Diseases, 62 (6). 683 -694.

Malottki, K, Popat, S, Deeks, JJ, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Nicholson, AG and Billingham, L (2015) Problems of variable biomarker evaluation in stratified medicine research--A case study of ERCC1 in non-small-cell lung cancer. Lung Cancer, 92. 1 - 7.

Malottki, K, Billingham, L, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Deeks, J (2015) Reviewing the evidence supporting predictive biomarkers in European medicines agency indications and contraindications using visual plots. Trials, 16 (2).

Takwoingi, Y, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Deeks, JJ (2015) Meta-analysis of diagnostic accuracy studies in mental health. Evidence Based Mental Health, 18 (4). pp. 103-109.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Elia, EG, Malin, G, Hemming, K and Price, MP (2015) Multivariate meta-analysis of prognostic factor studies with multiple cut-points and/or methods of measurement. Stat Med, 34 (17). 2481 - 2496.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ahmed, I, Debray, TP, Willis, BH, Noordzij, JP, Higgins, JP and Deeks, JJ (2015) Summarising and validating test accuracy results across multiple studies for use in clinical practice. Stat Med, 34 (13). 2081 - 2103.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Price, MJ, Jackson, D, Wardle, M, Gueyffier, F, Wang, J, Staessen, JA and White, IR (2015) Multivariate meta-analysis using individual participant data. Res Synth Methods, 6 (2). 157 - 174.

Snell, KI, Hua, H, Debray, TP, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Look, MP, Moons, KG and Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 (2015) Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model. Journal of Clinical Epidemiology, 69. pp. 40-50.

Dretzke, J, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Lordkipanidzé, M, Jowett, S, O'Donnell, J, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Moloney, E, Price, M, Raichand, S, Hodgkinson, J, Bayliss, S, Fitzmaurice, D and Moore, D (2015) The prognostic utility of tests of platelet function for the detection of 'aspirin resistance' in patients with established cardiovascular or cerebrovascular disease: a systematic review and economic evaluation. Health Technology Assessment, 19 (37). 1 - 366.

Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Ahmed, I, Ensor, J ORCID: https://orcid.org/0000-0001-7481-0282, Takwoingi, Y, Kirkham, A, Morris, RK, Noordzij, JP and Deeks, JJ (2015) Meta-analysis of test accuracy studies: an exploratory method for investigating the impact of missing thresholds. Systematic Reviews, 4. 12 -?.

Croft, P, Altman, DG, Deeks, JJ, Dunn, KM, Hay, AD, Hemingway, H, LeResche, L, Peat, G ORCID: https://orcid.org/0000-0002-9008-0184, Perel, P, Petersen, SE, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Roberts, I, Sharpe, M, Stevens, RJ, Van Der Windt, DA, Von Korff, M and Timmis, A (2015) The science of clinical practice: disease diagnosis or patient prognosis? Evidence about "what is likely to happen" should shape clinical practice. BMC Medicine, 13 (1). p. 20.

Peat, G ORCID: https://orcid.org/0000-0002-9008-0184, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Croft, P, Morley, KI, Kyzas, PA, Moons, KGM, Perel, P, Steyerberg, EW, Schroter, S, Altman, DG and Hemingway, H (2014) Improving the transparency of prognosis research: the role of reporting, data sharing, registration, and protocols. PLoS Medicine, 11 (7). e1001671 -?.

Steyerberg, EW, Moons, KG, van der Windt, DA, Hayden, JA, Perel, P, Schroter, S, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Hemingway, H and Altman, DG (2013) Prognosis Research Strategy (PROGRESS) 3: prognostic model research. PLoS Medicine, 10 (2). e1001381 -?.

Conference or Workshop Item

Holden, MA ORCID: https://orcid.org/0000-0003-0374-2862, Hattle, M, Runhaar, J, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Healey, EL ORCID: https://orcid.org/0000-0002-8356-0825, Quicke, JG ORCID: https://orcid.org/0000-0003-2418-2104, van der Windt, DA ORCID: https://orcid.org/0000-0002-7248-6703, Dziedzic, KS ORCID: https://orcid.org/0000-0002-1168-8993, van Middelkoop, M, Burke, D, Brown, J, Ingram, C, Taylor, R, Walker, C, Corp, N ORCID: https://orcid.org/0000-0002-6758-9513, Legha, A, Bierma-Zeinstra, S and Foster, NE (2022) MODERATORS OF THE EFFECT OF THERAPEUTIC EXERCISE FOR PEOPLE WITH KNEE AND/OR HIP OSTEOARTHRITIS: AN INDIVIDUAL PARTICIPANT DATA META-ANALYSIS. In: 2022 OARSI World Congress on Osteoarthritis, 07-10 Apr 2022.

Wu, F, Lamberg-Allardt, C, Cai, G, Viljakainen, H, El-Hajj, G, Rahme, FM, Gronborg, I, Andersen, R, Khadilkar, A, Zulf, M, Molgaard, C, Larnkjaer, A, Zhu, K, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735 and Winzenberg, T (2022) Vitamin D supplementation for improving bone density in vitamin D-deficient children: a systematic review and individual participant data meta-analysis of randomized controlled trials. In: Journal of Bone and Mineral Research.

Albasri, A, Hattle, M, Koshiaris, C, Dunnigan, A, Smith, M, Roberts, N, Stevens, R, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Hobbs, R, McManus, RJ and Sheppard, JP (2020) Harms of antihypertensive therapy for hypertension: a systematic review and meta-analysis. In: 2020 Annual Scientific Meeting of the British and Irish Hypertension Society (BIHS), 28-29 May 2020, Queen Elizabeth Teaching and Learning Centre in Glasgow, Scotland, UK.