کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1152443 | 958287 | 2006 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Survival analysis for the missing censoring indicator model using kernel density estimation techniques Survival analysis for the missing censoring indicator model using kernel density estimation techniques](/preview/png/1152443.png)
This article concerns asymptotic theory for a new estimator of a survival function in the missing censoring indicator model of random censorship. Specifically, the large sample results for an inverse probability-of-non-missingness weighted estimator of the cumulative hazard function, so far not available, are derived, including an almost sure representation with rate for a remainder term, and uniform strong consistency with rate of convergence. The estimator is based on a kernel estimate for the conditional probability of non-missingness of the censoring indicator. Expressions for its bias and variance, in turn leading to an expression for the mean squared error as a function of the bandwidth, are also obtained. The corresponding estimator of the survival function, whose weak convergence is derived, is asymptotically efficient. A numerical study, comparing the performances of the proposed and two other currently existing efficient estimators, is presented.
Journal: Statistical Methodology - Volume 3, Issue 2, April 2006, Pages 125–136