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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
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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 (2023)Calculating the power of a planned indivi…Calculating the power to examine treatment‐covariate interactions when planning an individual participant data meta‐analysis of randomized trials with a binary outcome (2022)Calculating the power to exam…One‐stage versus Two‐stage Approach to IPD Meta‐Analysis (2021)One‐stage versus Two‐stage Ap…Individual Participant Data Meta‐Analysis (2021)Individual Participant Data M…Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning (2020)Individual participant data m…Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ (2016)Meta-analysis using individua…Using aggregate data to estimate the standard error of a treatment–covariate interaction in an individual patient data meta‐analysis (2012)Using aggregate data to estim…A critical review of methods for the assessment of patient-level interactions in individual participant data meta-analysis of randomized trials, and guidance for practitioners (2011)A critical review of methods …Covariate heterogeneity in meta‐analysis: Criteria for deciding between meta‐regression and individual patient data (2006)Covariate heterogeneity in me…A Conversation with Sir David Cox (1994)A Conversation with Sir David…A Model of Aging and a Shape of the Observed Force of Mortality (2003)The most-cited statistical papers (2005)Ten Statisticians and Their Impacts for Psychologists (2009)Introduction to Stochastic Processes (2014)Meta-analysis in clinical trials (1986)Bias in meta-analysis detected by a simple, graphical test (1997)Quantifying heterogeneity in a meta‐analysis (2002)Get real in individual participant data (IPD) meta‐analysis: a review of the methodology (2015)Individual Participant Data (IPD) Meta-analyses of Randomised Controlled Trials: Guidance on Their Use (2015)Practical methodology of meta‐analyses (overviews) using updated individual patient data (1995)Advanced methods in meta‐analysis: multivariate approach and meta‐regression (2002)Bias and Efficiency of Meta-Analytic Variance Estimators in the Random-Effects Model (2005)Nonlinear effects and effect modification at the participant-level in IPD meta-analysis part 2: methodological guidance is available (2023)QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE1 (1987)Meta-analysis: Principles and procedures (1997)Recent developments in meta‐analysis (2007)Evidence Synthesis for Decision Making 3 (2013)Influence of initial severity of depression on effectiveness of low intensity interventions: meta-analysis of individual patient data (2013)Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1. The Cochrane Collaboration (2008)Conducting Meta-Analyses in R with the metafor Package (2010)An extended mixed‐effects framework for meta‐analysis (2019)Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study (2021)On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis (2021)A Re-Evaluation of Random-Effects Meta-Analysis (2008)Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses (2010)Interpretation of random effects meta-analyses (2011)Systematic review and individual participant data meta-analysis of randomized controlled trials assessing mindfulness-based programs for mental health promotion (2023)Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA) (2023)Two‐stage or not two‐stage? That is the question for IPD meta‐analysis projects (2023)A refined method for the meta‐analysis of controlled clinical trials with binary outcome (2001)A simple confidence interval for meta‐analysis (2002)A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses (2018)Quantitative evidence synthesis: a practical guide on meta-analysis, meta-regression, and publication bias tests for environmental sciences (2023)TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)
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References

  • 2016Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ537 cited
  • 2006Covariate heterogeneity in meta‐analysis: Criteria for deciding between meta‐regression and individual patient data194 cited
  • 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
  • 1994A Conversation with Sir David Cox179 cited
  • 2021Individual Participant Data Meta‐Analysis120 cited
  • 2012Using aggregate data to estimate the standard error of a treatment–covariate interaction in an individual patient data meta‐analysis9 cited
  • 2022Calculating the power to examine treatment‐covariate interactions when planning an individual participant data meta‐analysis of randomized trials with a binary outcome8 cited
  • 2021One‐stage versus Two‐stage Approach to IPD Meta‐Analysis7 cited

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