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- W2296082206 abstract "ABSTRACTIn incident cohort studies, survival data often include subjects who have had an initiate event at recruitment and may potentially experience two successive events (first and second) during the follow-up period. When disease registries or surveillance systems collect data based on incidence occurring within a specific calendar time interval, the initial event is usually subject to double truncation. Furthermore, since the second duration process is observable only if the first event has occurred, double truncation and dependent censoring arise. In this article, under the two sampling biases with an unspecified distribution of truncation variables, we propose a nonparametric estimator of the joint survival function of two successive duration times using the inverse-probability-weighted (IPW) approach. The consistency of the proposed estimator is established. Based on the estimated marginal survival functions, we also propose a two-stage estimation procedure for estimating the parameters of copula m..." @default.
- W2296082206 created "2016-06-24" @default.
- W2296082206 creator A5058562614 @default.
- W2296082206 date "2015-11-29" @default.
- W2296082206 modified "2023-09-25" @default.
- W2296082206 title "Estimation of the joint survival function for successive duration times under double-truncation and right-censoring" @default.
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- W2296082206 doi "https://doi.org/10.1080/00949655.2015.1120303" @default.
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