TransModel: An R Package for Linear Transformation Model with Censored Data

被引：2

作者：

Zhou, Jie ^{[1
]}

Zhang, Jiajia ^{[2
]}

Lu, Wenbin ^{[3
]}

机构：

[1] Univ South Carolina, Columbia, SC 29208 USA

[2] Univ South Carolina, Fac Biostat, Dept Epidemiol & Biostat, 915 Greene St, Columbia, SC 29208 USA

[3] North Carolina State Univ, Raleigh, NC USA

来源：

JOURNAL OF STATISTICAL SOFTWARE | 2022年 / 101卷 / 09期

关键词：

transformation model; right censored data;

D O I：

10.18637/jss.v101.i09

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Linear transformation models, including the proportional hazards model and proportional odds model, under right censoring were discussed by Chen, Jin, and Ying (2002). The asymptotic variance of the estimator they proposed has a closed form and can be obtained easily by plug-in rules, which improves the computational efficiency. We develop an R package TransModel based on Chen's approach. The detailed usage of the package is discussed, and the function is applied to the Veterans' Administration lung cancer data.

引用

页数：12

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