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Richard D Riley

Showing results (41-50 of 292) with videos related to

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Statistics in Medicine|February 12, 2026
Bayesian Sample Size Calculations for External Validation Studies of Risk Prediction ModelsMohsen Sadatsafavi, Paul Gustafson, Solmaz Setayeshgar, et al.
Plos One|October 25, 2011
Excision repair cross-complementation group 1 (ERCC1) status and lung cancer outcomes: a meta-analysis of published studies and recommendationsRichard A Hubner, Richard D Riley, Lucinda J Billingham, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|October 23, 2018
The role of secondary outcomes in multivariate meta-analysisJohn B Copas, Dan Jackson, Ian R White, et al.
Diagnostic and Prognostic Research|December 22, 2022
Targeted validation: validating clinical prediction models in their intended population and settingMatthew Sperrin, Richard D Riley, Gary S Collins, et al.
Archives of Disease in Childhood|November 7, 2019
Individual participant data validation of the PICNICC prediction model for febrile neutropeniaBob Phillips, Jessica Elizabeth Morgan, Gabrielle M Haeusler, et al.
Statistics in Medicine|November 5, 2015
Bayesian meta-analytical methods to incorporate multiple surrogate endpoints in drug development processSylwia Bujkiewicz, John R Thompson, Richard D Riley, et al.
BMJ (Clinical Research Ed.)|July 16, 2025
Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guidePedro Lopez-Ayala, Richard D Riley, Gary S Collins, et al.
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.
Pageof 30

Showing results (41-50 of 292) with videos related to

Sort By:
Pageof 30
Statistics in Medicine|February 12, 2026
Bayesian Sample Size Calculations for External Validation Studies of Risk Prediction ModelsMohsen Sadatsafavi, Paul Gustafson, Solmaz Setayeshgar, et al.
Plos One|October 25, 2011
Excision repair cross-complementation group 1 (ERCC1) status and lung cancer outcomes: a meta-analysis of published studies and recommendationsRichard A Hubner, Richard D Riley, Lucinda J Billingham, et al.
Journal of the Royal Statistical Society. Series C, Applied Statistics|October 23, 2018
The role of secondary outcomes in multivariate meta-analysisJohn B Copas, Dan Jackson, Ian R White, et al.
Diagnostic and Prognostic Research|December 22, 2022
Targeted validation: validating clinical prediction models in their intended population and settingMatthew Sperrin, Richard D Riley, Gary S Collins, et al.
Archives of Disease in Childhood|November 7, 2019
Individual participant data validation of the PICNICC prediction model for febrile neutropeniaBob Phillips, Jessica Elizabeth Morgan, Gabrielle M Haeusler, et al.
Statistics in Medicine|November 5, 2015
Bayesian meta-analytical methods to incorporate multiple surrogate endpoints in drug development processSylwia Bujkiewicz, John R Thompson, Richard D Riley, et al.
BMJ (Clinical Research Ed.)|July 16, 2025
Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guidePedro Lopez-Ayala, Richard D Riley, Gary S Collins, et al.
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.
Pageof 30