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Individual Participant Data Meta‐Analysis
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(2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols (2023)The reporting completeness and transparency of systematic reviews of prognostic prediction models for COVID-19 was poor: a methodological overview of systematic reviews (2024)Power failure: why small sample size undermines the reliability of neuroscience (2013)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation (2015)RoB 2: a revised tool for assessing risk of bias in randomised trials (2019)The sharing economy is not always greener: a review and consolidation of empirical evidence (2023)Effectiveness of mindfulness‐based interventions on the well‐being of healthcare workers: a systematic review and meta‐analysis (2024)Prevalence and 20-year trends in meditation, yoga, guided imagery and progressive relaxation use among US adults from 2002 to 2022 (2024)Meta-analysis of individual participant data: rationale, conduct, and reporting (2010)A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses (2018)To IPD or not to IPD? 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Checking the inventory: Illustrating different methods for individual participant data meta‐analytic structural equation modeling
8 cited
  • 2022Systematic Reviews of Prognostic Factor Studies8 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
  • 2022How to observe the principle of concurrent control in an arm‐based meta‐analysis using SAS procedures GLIMMIX and BGLIMM7 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