A piecewise transition model for analyzing multistate life history data

被引：3
|
作者：
Chen, PL
Sen, PK
机构：
[1] Family Hlth Int, Div Biostat, Res Triangle Pk, NC 27709 USA
[2] Univ N Carolina, Dept Biostat, Chapel Hill, NC 27599 USA
[3] Univ N Carolina, Dept Stat, Chapel Hill, NC 27599 USA
来源：
JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1999年 / 78卷 / 1-2期
关键词：
Cochran-Mantel-Haenszel statistic; Markov process; partition; piecewise transition intensity; quasi-scoring algorithm; validation procedure;
D O I：
10.1016/S0378-3758(98)00226-2
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：
A piecewise Markovian transition model for the analysis of incomplete life history data is proposed. Based on the observed followed-up time points, we partition the time axis into a set of disjoint time intervals and assume a constant intensity within each interval. A quasi-scoring algorithm is used to obtain the estimated transition intensities. Model assessment based on the Cochran-Mantel-Haenszel statistic and a sample reused validation procedure is discussed. Data from a reproductive survey and a stroke study are used as examples to illustrate the proposed model. (C) 1999 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：385 / 400
页数：16
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