A semiparametric regression cure model for interval-censored and left-truncated data |
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Authors: | Pao-Sheng Shen |
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Institution: | Department of Statistics, Tunghai University, Taichung, Taiwan |
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Abstract: | Medical advancements have made it possible for patients to be cured of certain types of diseases. In follow-up studies, the disease event time can be subject to left truncation and interval censoring. In this article, we propose a semiparametric nonmixture cure model for the regression analysis of left-truncated and interval-censored (LTIC) data. We develop semiparametric maximum likelihood estimation for the nonmixture cure model with LTIC data. A simulation study is conducted to investigate the performance of the proposed estimators. |
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Keywords: | Cure model Interval censoring Left truncation |
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