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A review of software packages for analyzing correlated survival data

Journal

AMERICAN STATISTICIAN
Volume 58, Issue 4, Pages 337-342

Publisher

AMER STATISTICAL ASSOC
DOI: 10.1198/000313004X5419

Keywords

failure time; frailty; marginal model; multivariate; random effect; robust

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This article provides a review of software packages for fitting either marginal or random effects models to correlated survival data. Six packages are considered: SAS, Stata, S-Plus and R, MLwiN, and, WinBUGS. Each software package is reviewed with respect to Cox and parametric accelerated failure time (AFT) models. The article aims to give the reader a summary of the different capabilities of each package.

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