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Richard D Riley

Showing results (31-40 of 292) with videos related to

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Journal of Clinical Epidemiology|November 27, 2010
Statistical methods can be improved within Cochrane pregnancy and childbirth reviewsRichard D Riley, Simon Gates, James Neilson, et al.
The European Respiratory Journal|July 25, 2020
COVID-19 prediction models should adhere to methodological and reporting standardsGary S Collins, Maarten van Smeden, Richard D Riley
Statistics in Medicine|May 3, 2014
Multilevel mixed effects parametric survival models using adaptive Gauss-Hermite quadrature with application to recurrent events and individual participant data meta-analysisMichael J Crowther, Maxime P Look, Richard D Riley
Statistical Methods in Medical Research|June 28, 2015
Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse dataYemisi Takwoingi, Boliang Guo, Richard D Riley, et al.
Statistical Methods in Medical Research|February 7, 2017
Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data modelsRichard D Riley, Joie Ensor, Dan Jackson, et al.
BMJ (Clinical Research Ed.)|February 12, 2011
Interpretation of random effects meta-analysesRichard D Riley, Julian P T Higgins, Jonathan J Deeks
Statistical Methods in Medical Research|October 8, 2021
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performanceGlen P Martin, Richard D Riley, Gary S Collins, et al.
Sports Medicine - Open|May 29, 2020
The Value of Preseason Screening for Injury Prediction: The Development and Internal Validation of a Multivariable Prognostic Model to Predict Indirect Muscle Injury Risk in Elite Football (Soccer) PlayersTom Hughes, Richard D Riley, Michael J Callaghan, et al.
Research Synthesis Methods|October 5, 2017
Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: A comparison of new and existing testsThomas P A Debray, Karel G M Moons, Richard D Riley
Clinical Trials (London, England)|March 4, 2009
Meta-analysis of individual patient data versus aggregate data from longitudinal clinical trialsAshley P Jones, Richard D Riley, Paula R Williamson, et al.
Pageof 30

Showing results (31-40 of 292) with videos related to

Sort By:
Pageof 30
Journal of Clinical Epidemiology|November 27, 2010
Statistical methods can be improved within Cochrane pregnancy and childbirth reviewsRichard D Riley, Simon Gates, James Neilson, et al.
The European Respiratory Journal|July 25, 2020
COVID-19 prediction models should adhere to methodological and reporting standardsGary S Collins, Maarten van Smeden, Richard D Riley
Statistics in Medicine|May 3, 2014
Multilevel mixed effects parametric survival models using adaptive Gauss-Hermite quadrature with application to recurrent events and individual participant data meta-analysisMichael J Crowther, Maxime P Look, Richard D Riley
Statistical Methods in Medical Research|June 28, 2015
Performance of methods for meta-analysis of diagnostic test accuracy with few studies or sparse dataYemisi Takwoingi, Boliang Guo, Richard D Riley, et al.
Statistical Methods in Medical Research|February 7, 2017
Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data modelsRichard D Riley, Joie Ensor, Dan Jackson, et al.
BMJ (Clinical Research Ed.)|February 12, 2011
Interpretation of random effects meta-analysesRichard D Riley, Julian P T Higgins, Jonathan J Deeks
Statistical Methods in Medical Research|October 8, 2021
Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performanceGlen P Martin, Richard D Riley, Gary S Collins, et al.
Sports Medicine - Open|May 29, 2020
The Value of Preseason Screening for Injury Prediction: The Development and Internal Validation of a Multivariable Prognostic Model to Predict Indirect Muscle Injury Risk in Elite Football (Soccer) PlayersTom Hughes, Richard D Riley, Michael J Callaghan, et al.
Research Synthesis Methods|October 5, 2017
Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: A comparison of new and existing testsThomas P A Debray, Karel G M Moons, Richard D Riley
Clinical Trials (London, England)|March 4, 2009
Meta-analysis of individual patient data versus aggregate data from longitudinal clinical trialsAshley P Jones, Richard D Riley, Paula R Williamson, et al.
Pageof 30