Additive hazards model with truncated and doubly censored data
In longitudinal studies, the additive hazard model is often used to analyze covariate effects on the duration time, defined as the elapsed time between the first and the second event. In this article, we consider the situation when the first event suffers partly interval censoring and
the second event suffers left truncation and right-censoring. We proposed a two-step estimation procedure for estimating the regression coefficients of the additive hazards model. A simulation study is conducted to investigate the performance of the proposed estimator. The proposed method
is applied to the Centers for Disease Control acquired immune deficiency syndrome blood transfusion data.
Keywords: additive hazards models; interval censoring; left truncation
Document Type: Research Article
Affiliations: Department of Statistics, Tunghai University Taichung, Taichung City, 40704, Taiwan, Republic of China
Publication date: 01 July 2013
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