https://scholars.lib.ntu.edu.tw/handle/123456789/112666
標題: | ESTIMATING MARGINAL EFFECTS IN ACCELERATED FAILURE TIME MODELS FOR SERIAL SOJOURN TIMES AMONG REPEATED EVENTS | 作者: | CHANG, SHU-HUI | 關鍵字: | accelerated failure time (AFT) model;recurrent event;log- rank statistic | 公開日期: | 2004 | 卷: | v.10 | 期: | n.2 | 起(迄)頁: | 175-190 | 來源出版物: | LIFETIME DATA ANALYSIS | 摘要: | Recurrent event data are commonly encountered in longitudinal studies when events occur repeatedly over time for each study subject. An accelerated failure time (AFT) model on the sojourn time between recurrent events is considered in this article. This model assumes that the covariate effect and the subject-specific frailty are additive on the logarithm of sojourn time, and the covariate effect maintains the same over distinct episodes, while the distributions of the frailty and the random error in the model are unspecified. With the ordinal nature of recurrent events, two scale transformations of the sojourn times are derived to construct semiparametric methods of log-rank type for estimating the marginal covariate effects in the model. The proposed estimation approaches/inference procedures also can be extended to the bivariate events, which alternate themselves over time. Examples and comparisons are presented to illustrate the performance of the proposed methods. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/82089 |
顯示於: | 流行病學與預防醫學研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。