Get real in individual participant data (IPD) meta‐analysis: a review of the methodology

By T. Debray, Karel G. M. Moons, G. van Valkenhoef, O. Efthimiou, N. Hummel, Rolf H. H. Groenwold, Johannes B Reitsma. Research Synthesis Methods, 2015

307 citations recorded by the source corpus.

Individual participant data (IPD) meta‐analysis is an increasingly used approach for synthesizing and investigating treatment effect estimates. Over the past few years, numerous methods for conducting an IPD meta‐analysis (IPD‐MA) have been proposed, often making different assumptions and modeling choices while addressing a similar research question. We conducted a literature review to provide an overview of methods for performing an IPD‐MA using evidence from clinical trials or non‐randomized studies when investigating treatment efficacy. With this review, we aim to assist researchers in choosing the appropriate methods and provide recommendations on their implementation when planning and conducting an IPD‐MA. © 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd.

Subfields: Economics and Econometrics, Experimental and Cognitive Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5c974d3699e53234f4d1690e2722690c946d9b07

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Citations in the corpus

GetReal in network meta‐analysis: a review of the methodology (2016, methodology): “This article is part of a series of three literature reviews (Debray et al., 2015; Panayidou et al., 2015).”
Meta‐analysis using individual participant data: one‐stage and two‐stage approaches, and why they may differ (2016, background): “provide an excellent overview of statistical software for IPD meta-analysis [1].”