Correction to: Nonparametric estimators of survival function under the mixed case interval-censored model with left truncation
نویسندگان
چکیده
منابع مشابه
Nonparametric Tree-Structured Modeling for Interval-Censored Survival Data
Survival analysis has been a major research area in statistics. In survival analysis, time to some event is usually the outcome variable. The objective of a survival study is to identify the relationship between treatments, risk factors or other covariates and the time to event. However, in a real clinical trial or longitudinal study, the exact time to event for each participant is not always k...
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In this paper, we study the Nonparametric Maximum Likelihood Estimator (NPMLE) of univariate “Mixed Case” interval-censored data in which the number of observation times, and the observation times themselves are random variables. We provide a characterization of the NPMLE, then use the ICM algorithm to compute the NPMLE. We also study the asymptotic properties of the NPMLE: consistency, global ...
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Mixed case interval censored data arise when the event time of interest is only known to lie in an interval obtained from a sequence of k random examinations, where k is a random integer. In this article, we consider mixed case interval censored data with a cured subgroup, where subjects in this subgroup are not susceptible to the event of interest. Such data may be encountered in medical and d...
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Interval censored data arise naturally in large-scale panel studies where subjects can only be followed periodically and the event of interest can only be observed in some time intervals. To estimate the survival function the non-parametric maximum likelihood estimator (NPMLE) is commonly used, which is a step function having some large jumps. However, in many applications the underlying surviv...
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In this paper we consider an interval censorship model in which the end-points of the censoring intervals are determined by a two stage experiment. In the rst stage the value k of a random integer is selected; in the second stage the endpoints are determined by a case k interval censorship model. We prove the strong consistency in the L 1 ()-topology of the nonparametric maximum likelihood esti...
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ژورنال
عنوان ژورنال: Lifetime Data Analysis
سال: 2020
ISSN: 1380-7870,1572-9249
DOI: 10.1007/s10985-020-09502-4