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Article

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 - ?.

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.

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.

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 - ?.

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.

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. -.

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.

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.

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