Premium
Regression Analysis of Doubly Censored Failure Time Data with Applications to AIDS Studies
Author(s) -
Sun Jianguo,
Liao Qiming,
Pagano Marcello
Publication year - 1999
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.1999.00909.x
Subject(s) - proportional hazards model , statistics , regression analysis , regression , event (particle physics) , accelerated failure time model , survival analysis , econometrics , computer science , mathematics , physics , quantum mechanics
Summary. In many epidemiological studies, the survival time of interest is the elapsed time between two related events, the originating event and the failure event, and the times of the occurrences of both events are right or interval censored. We discuss the regression analysis of such studies and a simple estimating equation approach is proposed under the proportional hazards model. The method can easily be implemented and does not involve any iteration among unknown parameters, as full likelihood approaches proposed in the literature do. The asymptotic properties of the proposed regression coefficient estimates are derived and an AIDS cohort study is analyzed to illustrate the proposed approach.