A comparison of analytic approaches for individual patient data meta-analyses with binary outcomes

A comparison of analytic approaches for individual patient data meta-analyses with binary outcomes

Abstract Background Individual patient data meta-analyses (IPD-MA) are often performed using a one-stage approach-- a form of generalized linear mixed model (GLMM) for binary outcomes. We compare (i) one-stage to two-stage approaches (ii) the performance of two estimation procedures (Penalized Quasi...

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Bibliographic Details
Main Authors: Doneal Thomas, Robert Platt, Andrea Benedetti
Format: Article
Language:English
Published: BMC 2017-02-01
Series:BMC Medical Research Methodology
Subjects:
Individual patient data meta-analyses
One- and two-stage models
Generalized linear mixed models
Penalized quasi-likelihood
Adaptive gauss-hermite quadrature
Fixed and random study-effects
Online Access:http://link.springer.com/article/10.1186/s12874-017-0307-7

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http://link.springer.com/article/10.1186/s12874-017-0307-7

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