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Richard D Riley

Showing results (61-70 of 292) with videos related to

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Research Synthesis Methods|August 22, 2023
Two-stage or not two-stage? That is the question for IPD meta-analysis projectsRichard D Riley, Joie Ensor, Miriam Hattle, et al.
Research Synthesis Methods|June 30, 2023
Calculating the power of a planned individual participant data meta-analysis of randomised trials to examine a treatment-covariate interaction with a time-to-event outcomeRichard D Riley, Gary S Collins, Miriam Hattle, et al.
Trials|September 5, 2014
Meta-analysis of randomized phase II trials to inform subsequent phase III decisionsDanielle L Burke, Lucinda J Billingham, Alan J Girling, et al.
Systematic Reviews|December 25, 2012
Exercise therapy for chronic low back pain: protocol for an individual participant data meta-analysisJill A Hayden, Jennifer L Cartwright, Richard D Riley, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|January 21, 2016
Risk of Late Relapse or Reinfection With Hepatitis C Virus After Achieving a Sustained Virological Response: A Systematic Review and Meta-analysisBryony Simmons, Jawaad Saleem, Andrew Hill, et al.
BMC Medical Research Methodology|January 9, 2014
Developing and validating risk prediction models in an individual participant data meta-analysisIkhlaaq Ahmed, Thomas P A Debray, Karel G M Moons, et al.
Research Synthesis Methods|July 15, 2022
MA-cont:pre/post effect size: An interactive tool for the meta-analysis of continuous outcomes using R ShinyKaterina Papadimitropoulou, Richard D Riley, Olaf M Dekkers, et al.
Journal of Clinical Epidemiology|May 5, 2023
Nonlinear effects and effect modification at the participant-level in IPD meta-analysis part 2: methodological guidance is availableNadine Marlin, Peter J Godolphin, Richard L Hooper, et al.
Journal of Clinical Epidemiology|May 5, 2023
Nonlinear effects and effect modification at the participant-level in IPD meta-analysis part 1: analysis methods are often substandardNadine Marlin, Peter J Godolphin, Richard L Hooper, et al.
Research Synthesis Methods|July 10, 2020
Meta-analysis of continuous outcomes: Using pseudo IPD created from aggregate data to adjust for baseline imbalance and assess treatment-by-baseline modificationKaterina Papadimitropoulou, Theo Stijnen, Richard D Riley, et al.
Pageof 30

Showing results (61-70 of 292) with videos related to

Sort By:
Pageof 30
Research Synthesis Methods|August 22, 2023
Two-stage or not two-stage? That is the question for IPD meta-analysis projectsRichard D Riley, Joie Ensor, Miriam Hattle, et al.
Research Synthesis Methods|June 30, 2023
Calculating the power of a planned individual participant data meta-analysis of randomised trials to examine a treatment-covariate interaction with a time-to-event outcomeRichard D Riley, Gary S Collins, Miriam Hattle, et al.
Trials|September 5, 2014
Meta-analysis of randomized phase II trials to inform subsequent phase III decisionsDanielle L Burke, Lucinda J Billingham, Alan J Girling, et al.
Systematic Reviews|December 25, 2012
Exercise therapy for chronic low back pain: protocol for an individual participant data meta-analysisJill A Hayden, Jennifer L Cartwright, Richard D Riley, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|January 21, 2016
Risk of Late Relapse or Reinfection With Hepatitis C Virus After Achieving a Sustained Virological Response: A Systematic Review and Meta-analysisBryony Simmons, Jawaad Saleem, Andrew Hill, et al.
BMC Medical Research Methodology|January 9, 2014
Developing and validating risk prediction models in an individual participant data meta-analysisIkhlaaq Ahmed, Thomas P A Debray, Karel G M Moons, et al.
Research Synthesis Methods|July 15, 2022
MA-cont:pre/post effect size: An interactive tool for the meta-analysis of continuous outcomes using R ShinyKaterina Papadimitropoulou, Richard D Riley, Olaf M Dekkers, et al.
Journal of Clinical Epidemiology|May 5, 2023
Nonlinear effects and effect modification at the participant-level in IPD meta-analysis part 2: methodological guidance is availableNadine Marlin, Peter J Godolphin, Richard L Hooper, et al.
Journal of Clinical Epidemiology|May 5, 2023
Nonlinear effects and effect modification at the participant-level in IPD meta-analysis part 1: analysis methods are often substandardNadine Marlin, Peter J Godolphin, Richard L Hooper, et al.
Research Synthesis Methods|July 10, 2020
Meta-analysis of continuous outcomes: Using pseudo IPD created from aggregate data to adjust for baseline imbalance and assess treatment-by-baseline modificationKaterina Papadimitropoulou, Theo Stijnen, Richard D Riley, et al.
Pageof 30