Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
414943 | Computational Statistics & Data Analysis | 2015 | 17 Pages |
Abstract
In this article, a class of transformed hazards models is proposed for recurrent gap time data, including both the proportional and additive hazards models as special cases. An estimating equation-based inference procedure is developed for the model parameters, and the asymptotic properties of the resulting estimators are established. In addition, a lack-of-fit test is presented to assess the adequacy of the model. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease (CGD) is illustrated.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Fangyuan Kang, Liuquan Sun, Xingqiu Zhao,