Get real in individual participant data (IPD) meta-analysis: a review of the methodology
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Publication date
2015-12
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Abstract
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.
Keywords
meta-analysis, IPD, evidence synthesis, review, RCT, non-randomized intervention studies, NRSI, cross-design, Statistics and Probability, Epidemiology
Citation
Debray, T P A, Moons, K G M, van Valkenhoef, G, Efthimiou, O, Hummel, N, Groenwold, R H H, Reitsma, J B & GetReal methods review group 2015, 'Get real in individual participant data (IPD) meta-analysis : a review of the methodology', Research synthesis methods, vol. 6, no. 4, pp. 293–309. https://doi.org/10.1002/jrsm.1160