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Richard D Riley

Showing results (151-160 of 292) with videos related to

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Statistics in Medicine|May 25, 2021
Minimum sample size for external validation of a clinical prediction model with a binary outcomeRichard D Riley, Thomas P A Debray, Gary S Collins, et al.
BMJ Open|November 20, 2023
Predictors of outcome in sciatica patients following an epidural steroid injection: the POiSE prospective observational cohort study protocolSiobhan Stynes, Kym Ie Snell, Richard D Riley, et al.
Statistics in Medicine|June 13, 2023
Propensity-based standardization to enhance the validation and interpretation of prediction model discrimination for a target populationValentijn M T de Jong, Jeroen Hoogland, Karel G M Moons, et al.
Statistics in Medicine|May 13, 2020
One-stage individual participant data meta-analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methodsRichard D Riley, Amardeep Legha, Dan Jackson, et al.
BMJ (Clinical Research Ed.)|January 15, 2024
Evaluation of clinical prediction models (part 2): how to undertake an external validation studyRichard D Riley, Lucinda Archer, Kym I E Snell, et al.
Statistical Methods in Medical Research|July 24, 2018
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomesThomas Pa Debray, Johanna Aag Damen, Richard D Riley, et al.
Statistics in Medicine|October 23, 2018
Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomesRichard D Riley, Kym I E Snell, Joie Ensor, et al.
Statistics in Medicine|March 25, 2015
Summarising and validating test accuracy results across multiple studies for use in clinical practiceRichard D Riley, Ikhlaaq Ahmed, Thomas P A Debray, et al.
Journal of Clinical Epidemiology|October 28, 2023
Open science practices need substantial improvement in prognostic model studies in oncology using machine learningGary S Collins, Rebecca Whittle, Garrett S Bullock, et al.
Journal of Clinical Epidemiology|July 5, 2015
Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction modelKym I E Snell, Harry Hua, Thomas P A Debray, et al.
Pageof 30

Showing results (151-160 of 292) with videos related to

Sort By:
Pageof 30
Statistics in Medicine|May 25, 2021
Minimum sample size for external validation of a clinical prediction model with a binary outcomeRichard D Riley, Thomas P A Debray, Gary S Collins, et al.
BMJ Open|November 20, 2023
Predictors of outcome in sciatica patients following an epidural steroid injection: the POiSE prospective observational cohort study protocolSiobhan Stynes, Kym Ie Snell, Richard D Riley, et al.
Statistics in Medicine|June 13, 2023
Propensity-based standardization to enhance the validation and interpretation of prediction model discrimination for a target populationValentijn M T de Jong, Jeroen Hoogland, Karel G M Moons, et al.
Statistics in Medicine|May 13, 2020
One-stage individual participant data meta-analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methodsRichard D Riley, Amardeep Legha, Dan Jackson, et al.
BMJ (Clinical Research Ed.)|January 15, 2024
Evaluation of clinical prediction models (part 2): how to undertake an external validation studyRichard D Riley, Lucinda Archer, Kym I E Snell, et al.
Statistical Methods in Medical Research|July 24, 2018
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomesThomas Pa Debray, Johanna Aag Damen, Richard D Riley, et al.
Statistics in Medicine|October 23, 2018
Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomesRichard D Riley, Kym I E Snell, Joie Ensor, et al.
Statistics in Medicine|March 25, 2015
Summarising and validating test accuracy results across multiple studies for use in clinical practiceRichard D Riley, Ikhlaaq Ahmed, Thomas P A Debray, et al.
Journal of Clinical Epidemiology|October 28, 2023
Open science practices need substantial improvement in prognostic model studies in oncology using machine learningGary S Collins, Rebecca Whittle, Garrett S Bullock, et al.
Journal of Clinical Epidemiology|July 5, 2015
Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction modelKym I E Snell, Harry Hua, Thomas P A Debray, et al.
Pageof 30