Calculating the power to examine treatment‐covariate interactions when planning an individual participant data meta‐analysis of randomized trials with a binary outcome-Reference-Cited by-同舟云学术

Calculating the power to examine treatment‐covariate interactions when planning an individual participant data meta‐analysis of randomized trials with a binary outcome

Published:2022-08-05 Issue:24 Volume:41 Page:4822-4837
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Riley Richard D.¹^ORCID,Hattle Miriam¹^ORCID,Collins Gary S.²³^ORCID,Whittle Rebecca¹^ORCID,Ensor Joie¹^ORCID

Affiliation:

1. Centre for Prognosis Research, School of Medicine Keele University Keele Staffordshire UK

2. Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK

3. NIHR Oxford Biomedical Research Centre Oxford University Hospitals NHS Foundation Trust Oxford UK

Funder

Cancer Research UK

Medical Research Council Canada

NIHR Oxford Biomedical Research Centre

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9538

Reference21 articles.

1. Individual Participant Data Meta‐Analysis

2. Power Calculations for Planning an IPD Meta‐Analysis

3. Covariate heterogeneity in meta-analysis: Criteria for deciding between meta-regression and individual patient data

4. Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning

5. Simulation-based power calculations for planning a two-stage individual participant data meta-analysis

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1. Calculating the power of a planned individual participant data meta‐analysis to examine prognostic factor effects for a binary outcome;Research Synthesis Methods;2024-07-24

2. Nonlinear effects and effect modification at the participant-level in IPD meta-analysis part 2: methodological guidance is available;Journal of Clinical Epidemiology;2023-07

3. 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 outcome;Research Synthesis Methods;2023-06-29