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Richard D Riley

Showing results (111-120 of 292) with videos related to

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BMC Medical Research Methodology|August 19, 2023
Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic reviewPaula Dhiman, Jie Ma, Cathy Qi, et al.
Statistics in Medicine|August 14, 2018
Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage modelsAmardeep Legha, Richard D Riley, Joie Ensor, et al.
Plos Medicine|October 14, 2015
Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their useThomas P A Debray, Richard D Riley, Maroeska M Rovers, et al.
Diagnostic and Prognostic Research|April 14, 2026
A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 3: continuous outcomesRebecca Whittle, Richard D Riley, Lucinda Archer, et al.
BMC Medical Research Methodology|April 30, 2026
A general sample size framework for developing or updating a predictive algorithm: with application to clinical prediction modelsRichard D Riley, Rebecca Whittle, Mohsen Sadatsafavi, et al.
JAMA|April 29, 2015
Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD StatementLesley A Stewart, Mike Clarke, Maroeska Rovers, et al.
The Journal of Orthopaedic and Sports Physical Therapy|October 1, 2021
Clinical Prediction Models in Sports Medicine: A Guide for Clinicians and ResearchersGarrett S Bullock, Tom Hughes, Jamie C Sergeant, et al.
Journal of Clinical Epidemiology|July 4, 2007
Prognosis research: toward evidence-based results and a Cochrane methods groupRichard D Riley, Greta Ridley, Katrina Williams, et al.
Statistics in Medicine|November 5, 2020
Minimum sample size for external validation of a clinical prediction model with a continuous outcomeLucinda Archer, Kym I E Snell, Joie Ensor, et al.
BMC Medical Research Methodology|July 11, 2022
Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trialsJanharpreet Singh, Sandro Gsteiger, Lorna Wheaton, et al.
Pageof 30

Showing results (111-120 of 292) with videos related to

Sort By:
Pageof 30
BMC Medical Research Methodology|August 19, 2023
Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic reviewPaula Dhiman, Jie Ma, Cathy Qi, et al.
Statistics in Medicine|August 14, 2018
Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage modelsAmardeep Legha, Richard D Riley, Joie Ensor, et al.
Plos Medicine|October 14, 2015
Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their useThomas P A Debray, Richard D Riley, Maroeska M Rovers, et al.
Diagnostic and Prognostic Research|April 14, 2026
A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 3: continuous outcomesRebecca Whittle, Richard D Riley, Lucinda Archer, et al.
BMC Medical Research Methodology|April 30, 2026
A general sample size framework for developing or updating a predictive algorithm: with application to clinical prediction modelsRichard D Riley, Rebecca Whittle, Mohsen Sadatsafavi, et al.
JAMA|April 29, 2015
Preferred Reporting Items for Systematic Review and Meta-Analyses of individual participant data: the PRISMA-IPD StatementLesley A Stewart, Mike Clarke, Maroeska Rovers, et al.
The Journal of Orthopaedic and Sports Physical Therapy|October 1, 2021
Clinical Prediction Models in Sports Medicine: A Guide for Clinicians and ResearchersGarrett S Bullock, Tom Hughes, Jamie C Sergeant, et al.
Journal of Clinical Epidemiology|July 4, 2007
Prognosis research: toward evidence-based results and a Cochrane methods groupRichard D Riley, Greta Ridley, Katrina Williams, et al.
Statistics in Medicine|November 5, 2020
Minimum sample size for external validation of a clinical prediction model with a continuous outcomeLucinda Archer, Kym I E Snell, Joie Ensor, et al.
BMC Medical Research Methodology|July 11, 2022
Bayesian network meta-analysis methods for combining individual participant data and aggregate data from single arm trials and randomised controlled trialsJanharpreet Singh, Sandro Gsteiger, Lorna Wheaton, et al.
Pageof 30