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

Volume: 17, Issue: 1
Published: Feb 16, 2017
Abstract
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-likelihood-PQL and Adaptive Gaussian Hermite Quadrature-AGHQ) for GLMMs with binary outcomes within the one-stage approach and (iii) using stratified study-effect or...
Paper Details
Title
A comparison of analytic approaches for individual patient data meta-analyses with binary outcomes
Published Date
Feb 16, 2017
Volume
17
Issue
1
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