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Fu, Liya; Yang, Zhuoran; Zhang, Jun; Long, Anle; Zhou, Yan

Generalized estimating equations for analyzing multivariate survival data. (English) Zbl 1497.62263

Commun. Stat., Simulation Comput. 50, No. 10, 3060-3068 (2021).
Summary: Generalized estimating equations (GEE) approach has been used to estimate the parameters in semiparametric accelerated failure time (AFT) models with clustered and censored data. However, the working correlation model has a substantial impact on estimator efficiency when using the GEE method. This article proposes a general correlation model to incorporate the correlations among the clustered and censored data and protect against avoidable loss of efficiency associated with misspecified correlation structure. The proposed estimator is consistent and asymptotically normal. Simulation studies are carried out to demonstrate the effectiveness of the proposed method. Finally, a real dataset from a toxicology study is analyzed for illustration.

MSC:

62N05 Reliability and life testing
62J05 Linear regression; mixed models
62N02 Estimation in survival analysis and censored data
62F12 Asymptotic properties of parametric estimators
62P10 Applications of statistics to biology and medical sciences; meta analysis

Keywords:

generalized estimating equations; Toeplitz correlation structure; within-cluster correlation

Software:

geepack
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Full Text: DOI

References:

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