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BMJ (Clinical Research Ed.)|December 18, 2023
Effect of a doctor working during the festive period on population health: natural experiment using 60 years of Doctor Who episodes (the TARDIS study)Richard D RileyAnnals of Internal Medicine|January 1, 2019
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model StudiesRobert F Wolff, Karel G M Moons, Richard D Riley, et al.Annals of Internal Medicine|January 1, 2019
PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and ElaborationKarel G M Moons, Robert F Wolff, Richard D Riley, et al.Journal of Clinical Epidemiology|December 21, 2025
Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individualsAmardeep Legha, Joie Ensor, Rebecca Whittle, et al.Expert Review of Pharmacoeconomics & Outcomes Research|October 8, 2009
Cultural issues in assessing quality of life in cancer clinical trialsGary S Collins, Fabio EfficaceCurrent Osteoporosis Reports|June 13, 2012
Fracture risk assessment: state of the art, methodologically unsound, or poorly reported?Gary S Collins, Karl MichaëlssonBMJ Open|August 31, 2025
Design aspects for prognostic factor studiesPeggy Sekula, Inga Steinbrenner, Ulla T Schultheiss, et al.Statistics in Medicine|September 3, 2013
A refined method for multivariate meta-analysis and meta-regressionDaniel Jackson, Richard D RileyStatistics in Medicine|October 8, 2016
Random effects meta-analysis: Coverage performance of 95% confidence and prediction intervals following REML estimationChristopher Partlett, Richard D RileyStatistics in Medicine|December 16, 2021
Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcomeRichard D Riley, Gary S Collins, Joie Ensor, et al.Pageof 51