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

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References

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2011A critical review of methods for the assessment of patient-level interactions in individual participant data meta-analysis of randomized trials, and guidance for practitioners182 cited
2020Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning180 cited
2015Two-stage Individual Participant Data Meta-analysis and Generalized Forest Plots129 cited
2021Individual Participant Data Meta‐Analysis120 cited
2016One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information115 cited
2018Simulation-based power calculations for planning a two-stage individual participant data meta-analysis27 cited
2012Using aggregate data to estimate the standard error of a treatment–covariate interaction in an individual patient data meta‐analysis9 cited

Cited by

2023Nonlinear effects and effect modification at the participant-level in IPD meta-analysis part 2: methodological guidance is available

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7 cited

2023Calculating the power of a planned individual participant data meta‐analysis of randomised trials to examine a treatment‐covariate interaction with a time‐to‐event outcome5 cited