The covariance adjustment approaches for combining incomparable Cox regressions caused by unbalanced covariates adjustment: a multivariate meta-analysis study

DOI10.1155/2015/801031zbMath1335.92006OpenAlexW1725020537WikidataQ41300014 ScholiaQ41300014MaRDI QIDQ278117

Seyyed Mohammad Taghi Ayatollahi, Tania Dehesh, Najaf Zare

Publication date: 2 May 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/801031

zbMATH Keywords

mean square errormultivariate generalized least squareunivariate meta-analysis

Mathematics Subject Classification ID

General biostatistics (92B15)

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Cites Work

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• The synthesis of regression slopes in meta-analysis
• Meta-analysis methodology for combining treatment effects from Cox proportional hazard models with different covariate adjustments
• Effect of misspecification of regression models in the analysis of survival data
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• Misspecified proportional hazard models
• The Combination of Estimates from Different Experiments

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