Multivariate meta-analysis for data consortia, individual patient meta-analysis, and pooling projects

DOI10.1016/j.jspi.2007.07.004zbMath1134.62079OpenAlexW2014520026MaRDI QIDQ2427147

Eugene Demidenko, John Ritz, Donna Spiegelman

Publication date: 8 May 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2007.07.004

zbMATH Keywords

asymptotic relative efficiencyrandom effectsmaximum likelihoodepidemiologyestimating equationsmixed modelmixed effectsdata pooling

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Generalized linear models (logistic models) (62J12)

Related Items (1)

Multivariate meta‐analysis with an increasing number of parameters

Uses Software

• ADIFOR
• tcs

Cites Work

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• Random-Effects Models for Longitudinal Data
• Cluster randomization trials in epidemiology: Theory and application
• Efficient estimation of general linear mixed effects models
• Theory of statistics
• On combining feasibility, descent and superlinear convergence in inequality constrained optimization
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• Comparison of Meta-Analysis Versus Analysis of Variance of Individual Patient Data
• Fitting Nonlinear and Constrained Generalized Estimating Equations with Optimization Software
• Mixed Models
• An Optimum Property of Regular Maximum Likelihood Estimation
• The Combination of Estimates from Different Experiments

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