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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.

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.

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.