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Get real in individual participant data (IPD) meta-analysis: a review of the methodology.
Journal article

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

  • Debray TP Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Moons KG Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
  • van Valkenhoef G Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Efthimiou O Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece.
  • Hummel N Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Groenwold RH Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Reitsma JB Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
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  • 2015-08-20
Published in:
  • Research synthesis methods. - 2015
IPD
NRSI
RCT
cross-design
evidence synthesis
meta-analysis
non-randomized intervention studies
review
Data Interpretation, Statistical
Humans
Linear Models
Meta-Analysis as Topic
Models, Statistical
Proportional Hazards Models
Randomized Controlled Trials as Topic
Software
Treatment Outcome
English 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.
Language
  • English
Open access status
hybrid
Identifiers
Persistent URL
https://folia.unifr.ch/global/documents/60864
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