REGRESSION WITH INTERVAL-CENSORED DATA

被引：77
|
作者：
RABINOWITZ, D
TSIATIS, A
ARAGON, J
机构：
[1] HARVARD UNIV,SCH PUBL HLTH,DEPT BIOSTAT,BOSTON,MA 02115
[2] UNIV AUTONOMA COAHUILA,UNIDAD CAMPO REDONDO,SALTILLO 25280,COAHUILA,MEXICO
来源：
BIOMETRIKA | 1995年 / 82卷 / 03期
关键词：
ACCELERATED FAILURE TIME; ADAPTIVE ESTIMATION; CURRENT STATUS DATA; NONPARAMETRIC MAXIMUM LIKELIHOOD; SEMIPARAMETRIC EFFICIENCY; SURVIVAL ANALYSIS;
D O I：
10.2307/2337529
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Interval-censored data result when survival times are not known exactly, but are only known to have occurred between intermittent examination times. Here the accelerated failure time model is treated for interval-censored data. A class of score statistics that may be used for estimation and confidence procedures is proposed. An adaptive procedure based on estimating the optimal member of the class of score statistics is explored.
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页码：501 / 513
页数：13
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