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

DOI Web Site Web Site Web Site 5 Citations
  • Thomas P. A. Debray
    Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands
  • Karel G. M. Moons
    Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands
  • Gert van Valkenhoef
    Department of Epidemiology University of Groningen, University Medical Center Groningen Groningen The Netherlands
  • Orestis Efthimiou
    Department of Hygiene and Epidemiology, School of Medicine University of Ioannina Ioannina Greece
  • Noemi Hummel
    Institute of Social and Preventive Medicine University of Bern Bern Switzerland
  • Rolf H. H. Groenwold
    Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands
  • Johannes B. Reitsma
    Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands

Abstract

<jats:p>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.</jats:p>

Journal

Citations (5)*help

See more

Report a problem

Back to top