TESTING FOR SUFFICIENT FOLLOW-UP AND OUTLIERS IN SURVIVAL-DATA
TESTING FOR SUFFICIENT FOLLOW-UP AND OUTLIERS IN SURVIVAL-DATA
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DOI：
10.2307/2291012
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发表时间：
1994-12-01
影响因子：
3.7
通讯作者：
ZHOU, S
中科院分区：
文献类型：
--
作者：
MALLER, RA;ZHOU, S
一种情况，在这种情况下，一个样本的故障时间与许多最大的时间审查，可作为证据的比例''免疫''或''治愈'的个人，谁是不受故障，在人口。如果对个体的随访持续足够长的时间，则此类数据的KapIan-Meier经验分布函数图在其右端附近趋于平稳。本文开发了一种诊断测试，用于在可能有或可能没有免疫的样本中进行充分的随访，并展示了其特性。该程序说明了一些犯罪学数据，导致我们也提出了一个测试离群值在这种情况下。
A situation in which a sample of failure times with many of the largest times censored may be taken as evidence of a proportion of ''immune'' or ''cured'' individuals, who are not subject to failure, in the population. A plot of the KapIan-Meier empirical distribution function for such data will tend to level off near its right extreme, provided that follow-up of individuals has been continued for long enough. This article develops a diagnostic test for sufficient follow-up in samples where there may or may not be immunes and demonstrates its properties. The procedure is illustrated on some criminological data, leading us also to propose a test for outliers in this kind of situation.