Using Aalen's linear hazards model to investigate time-varying effects in the proportional hazards regression model

被引:48
|
作者
Hosmer, David W. [1 ]
Royston, Patrick [2 ]
机构
[1] Univ Massachusetts, Sch Publ Hlth & Hlth Sci, Dept Biostat & Epidemiol, 715 North Pleasant St, Amherst, MA 01003 USA
[2] MRC Clin Trials Unit, Canc Div, London NW1 2DA, England
来源
STATA JOURNAL | 2002年 / 2卷 / 04期
关键词
st0024; survival analysis; survival-time regression models; time-to-event analysis;
D O I
10.1177/1536867X0200200401
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
In this paper, we describe a new Stata command, stlh, which estimates and tests for the significance of the time-varying regression coefficients in Aalen's linear hazards model; see Aalen (1989). We see two potential uses for this command. One may use it as an alternative to a proportional hazards or other nonlinear hazards regression model analysis to describe the effects of covariates on survival time. A second application is to use the command to supplement a proportional hazards regression model analysis to assist in detecting and then describing the nature of time-varying effects of covariates through plots of the estimated cumulative regression coefficients, with confidence bands, from Aalen's model. We illustrate the use of the command to perform this supplementary analysis with data from a study of residential treatment programs of different durations that are designed to prevent return to drug use.
引用
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页码:331 / 350
页数:20
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