Nonparametric Estimation of the Bivariate Survival Function with Truncated Data
نویسندگان
چکیده
منابع مشابه
Nonparametric Estimation of the Bivariate Survival Function with Truncated Data
Randomly left or right truncated observations occur when one is concerned with estimation of the distribution of time between two events and when one only observes the time if one of the two events falls in a fixed time-window, so that longer survival times have higher probability to be part of the sample than short survival times. In important AIDSapplications the time between seroconversion a...
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Randomly left or right truncated observations occur when one is concerned with estimation of the distribution of time between two events and when one only observes the time if one of the two events falls in a xed time-window, so that longer survival times have higher probability to be part of the sample than short survival times. In important AIDS-applications the time between seroconversion an...
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In this paper we build on previous work for estimation of the bivariate distribution of the time variables T1 and T2 when they are observable only on the condition that one of the time variables, say T1, is greater than (left-truncation) or less than (right truncation) some observed time variable C1. In this paper, we introduce several results based on the Influence Curve (which we derive in th...
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SUMMARY Cause-specific hazard and cumulative incidence function are of practical importance in competing risks studies. Inferential procedures for these quantities are well developed and can be applied to semi-competing risks data, where a terminating event censors a non-terminating event, after coercing the data into the competing risks format. Complications arise when there is left truncation...
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ژورنال
عنوان ژورنال: Journal of Multivariate Analysis
سال: 1996
ISSN: 0047-259X
DOI: 10.1006/jmva.1996.0042