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

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 c...

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Detalles Bibliográficos
Autores principales: Debray, Thomas P. A., Moons, Karel G. M., van Valkenhoef, Gert, Efthimiou, Orestis, Hummel, Noemi, Groenwold, Rolf H. H., Reitsma, Johannes B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5042043/
https://www.ncbi.nlm.nih.gov/pubmed/26287812
http://dx.doi.org/10.1002/jrsm.1160
Descripción
Sumario: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.