Joint analysis of panel count and interval-censored data using distribution-free frailty analysis
學年 109
學期 1
出版（發表）日期 2020-09-01
作品名稱 Joint analysis of panel count and interval-censored data using distribution-free frailty analysis
作品名稱（其他語言）
著者 Wen, Chi-Chung; Chen, Yi-Hau; Tseng, Chi-Hong
單位
出版者
著錄名稱、卷期、頁數 Biometrical Journal 62(5), p.1164-1175
摘要 We propose a joint analysis of recurrent and nonrecurrent event data subject to general types of interval censoring. The proposed analysis allows for general semiparametric models, including the Box–Cox transformation and inverse Box–Cox transformation models for the recurrent and nonrecurrent events, respectively. A frailty variable is used to account for the potential dependence between the recurrent and nonrecurrent event processes, while leaving the distribution of the frailty unspecified. We apply the pseudolikelihood for interval‐censored recurrent event data, usually termed as panel count data, and the sufficient likelihood for interval‐censored nonrecurrent event data by conditioning on the sufficient statistic for the frailty and using the working assumption of independence over examination times. Large sample theory and a computation procedure for the proposed analysis are established. We illustrate the proposed methodology by a joint analysis of the numbers of occurrences of basal cell carcinoma over time and time to the first recurrence of squamous cell carcinoma based on a skin cancer dataset, as well as a joint analysis of the numbers of adverse events and time to premature withdrawal from study medication based on a scleroderma lung disease dataset.
關鍵字 correlated data;joint model;recurrent event;semiparametric model;survival analysis
語言 en
ISSN 1521-4036
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 否
國別 DEU
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/119167 )

SDGS 消除貧窮,消除飢餓,良好健康和福祉