Richard D Riley

Interpretation of random effects meta-analyses

Richard D Riley, Julian P. T. Higgins, Jonathan J Deeks · BMJ · 2011 · 2.8K citations

Public Health, Biostatistics, Clinical Epidemiology +12

PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

Robert Wolff, Karel G.M. Moons, Richard D Riley et al. · Annals of Internal Medicine · 2018 · 2.5K citations · Full text

Computing, Biostatistics, Clinical Decision Support +16

Calculating the sample size required for developing a clinical prediction model

Richard D Riley, Joie Ensor, Kym I E Snell et al. · BMJ · 2020 · 2.5K citations · Full text

Computing, Biostatistics, Health Informatics +17

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al. · BMJ · 2024 · 2.2K citations · Full text

Computing, Biostatistics, Health Informatics +17

Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups

Mary Dixon‐Woods, Debbie Cavers, Shona Agarwal et al. · BMC Medical Research Methodology · 2006 · 2K citations · Full text

Public Affairs, Health Policy, Health Equity +16