Model Selection and Semiparametric Inference for Bivariate Failure-Time Data

Wei-Jing Wang*, Martin T. Wells

*此作品的通信作者

研究成果: Article同行評審

184 引文 斯高帕斯(Scopus)

摘要

We propose model selection procedures for bivariate survival models for censored data generated by the Archimedean copula family. In route to constructing the selection methodology, we develop estimates of some time-dependent association measures, including estimates of the local and global Kendall's tau, local odds ratio, and other measures defined throughout the literature. We propose a goodness-of-fit-based model selection methodology as well as a graphical approach. We show that the proposed methods have desirable asymptotic properties and perform well in finite samples.

原文English
頁(從 - 到)62-72
頁數11
期刊Journal of the American Statistical Association
95
發行號449
DOIs
出版狀態Published - 1 3月 2000

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