CENSORED DATA;
DANIELS THEOREM;
THE KAPLAN-MEIER ESTIMATOR;
THE NELSON-ALLEN ESTIMATOR;
NONIDENTICALLY DISTRIBUTED RANDOM VARIABLES;
D O I:
10.1214/aos/1176348399
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
In this paper we study the Kaplan-Meier estimator in the case where survival and censoring times are not all i.i.d. We prove several results which are analogous to those shown by van Zuijlen in the complete data case.
机构:
Aventis Pharma Ltd, Biostat & Data Management Dept, Minato Ku, Tokyo 1078465, JapanAventis Pharma Ltd, Biostat & Data Management Dept, Minato Ku, Tokyo 1078465, Japan
Nishikawa, M
Tango, T
论文数: 0引用数: 0
h-index: 0
机构:
Aventis Pharma Ltd, Biostat & Data Management Dept, Minato Ku, Tokyo 1078465, JapanAventis Pharma Ltd, Biostat & Data Management Dept, Minato Ku, Tokyo 1078465, Japan