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European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|April 25, 2025
Statistical primer: sample size considerations for developing and validating clinical prediction modelsGlen P Martin, Richard D Riley, Joie Ensor, et al.Journal of Clinical Epidemiology|December 31, 2020
Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficientShane D Collins, Niels Peek, Richard D Riley, et al.Biostatistics (Oxford, England)|July 5, 2014
Joint synthesis of multiple correlated outcomes in networks of interventionsOrestis Efthimiou, Dimitris Mavridis, Richard D Riley, et al.Journal of Clinical Epidemiology|December 25, 2014
Multivariate meta-analysis helps examine the impact of outcome reporting bias in Cochrane rheumatoid arthritis reviewsGiacomo Frosi, Richard D Riley, Paula R Williamson, et al.Pharmacogenomics|July 30, 2016
Opioid treatment failure in cancer patients: the role of clinical and genetic factorsAstrid W Oosten, Maja Matic, Ron H van Schaik, et al.Statistical Methods in Medical Research|November 8, 2015
Borrowing of strength and study weights in multivariate and network meta-analysisDan Jackson, Ian R White, Malcolm Price, et al.The European Respiratory Journal|June 24, 2017
Predicting risk of undiagnosed COPD: development and validation of the TargetCOPD scoreShamil Haroon, Peymane Adab, Richard D Riley, et al.Statistics in Medicine|August 6, 2022
Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcomeRichard D Riley, Miriam Hattle, Gary S Collins, et al.Journal of Clinical Epidemiology|May 22, 2018
Measurement error and timing of predictor values for multivariable risk prediction models are poorly reportedRebecca Whittle, George Peat, John Belcher, et al.Journal of Clinical Epidemiology|October 27, 2004
Sensitivity analyses allowed more appropriate and reliable meta-analysis conclusions for multiple outcomes when missing data was presentRichard D Riley, Alex J Sutton, Keith R Abrams, et al.Pageof 31