 |
 |
Recent數據載入中... |
Approximate Nonparametric Corrected-score Method for Joint Modeling of Survival and Longitudinal Data Measured with Error
國立東華大學應用數學系
專 題 演 講
主講人：Mr. Jean de Dieu Tapsoba (江達生先生)
逢甲大學應用統計研究所
講 題：Approximate Nonparametric Corrected-score Method for Joint Modeling of Survival and
Longitudinal Data Measured with Error
時 間：100年3月25日(星期五)15:10-16:40
摘 要
We consider the problem of jointly modeling survival time and longitudinal data subject to measurement error. The survival times are modeled through the proportional hazards model and a random effects model is assumed for the longitudinal covariate process. Under this framework, we propose an approximate nonparametric corrected-score estimator for the parameter, which describes the association between the time-to-event and the longitudinal covariate. The term nonparametric refers to the fact that assumptions regarding the distribution of the random effects and that of the measurement error are unnecessary. The finite sample size performance of the approximate nonparametric corrected-score estimator is examined through simulation studies and its asymptotic properties are also developed. Furthermore, the proposed estimator and some existing estimators are applied to real data from an AIDS clinical trial.
上列演講地點於理學院A324會議室舉行
※※※ 歡 迎 參 加 ※※※se1000325
附件：
瀏覽數
|
