کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1144709 957429 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A self-consistent estimator of survival function with interval-censored and left-truncated data
ترجمه فارسی عنوان
یک برآورد پایدار از عملکرد بقا با داده ها با فاصله داده شده و سوزانده شده با چپ
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات آمار و احتمال
چکیده انگلیسی

Interval censoring refers to a situation in which, Ti∗, the time to occurrence of an event of interest is only known to lie in an interval [Li∗,Ri∗]. In some cases, the variable Ti∗ also suffers left-truncation. The nonparametric maximum likelihood estimator (NPMLE) of the survival function of Ti∗ can be obtained by using an EM algorithm of Turnbull (1976). One disadvantage of the NPMLE is that it is not uniquely defined in the innermost intervals. In this article, we propose a self-consistent estimator (SCE), which does not require interpolation. Furthermore, we show that the NPMLE is also an SCE. We establish the consistency of the SCE under certain conditions, which implies that the NPMLE is also a consistent estimator. A simulation study is conducted to compare the performance between the SCE and the NPMLE.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Korean Statistical Society - Volume 44, Issue 2, June 2015, Pages 211–220
نویسندگان
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