Survival analysis with change-points in covariate effects

被引：8
作者：
Lee, Chun Yin [1 ]
Lam, K. F. [1 ,2 ]
机构：
[1] Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Peoples R China
[2] Duke NUS Med Sch, Ctr Quantitat Med, Singapore, Singapore
来源：
STATISTICAL METHODS IN MEDICAL RESEARCH | 2020年 / 29卷 / 11期
关键词：
Clinical trials; change-points; right-censored data; likelihood ratio tests; sequential analysis; PROPORTIONAL HAZARDS MODEL; REGRESSION-MODEL; PARAMETER; THRESHOLD; TESTS; AGE;
D O I：
10.1177/0962280220922258
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
We apply a maximal likelihood ratio test for the presence of multiple change-points in the covariate effects based on the Cox regression model. The covariate effect is assumed to change smoothly at one or more unknown change-points. The number of change-points is inferred by a sequential approach. Confidence intervals for the regression and change-point parameters are constructed by a bootstrap method based on Bernstein polynomials conditionally on the number of change-points. The methods are assessed by simulations and are applied to two datasets.
引用
收藏
页码：3235 / 3248
页数：14
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