Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing with Application in Lupus Nephritis
作者:
Michal Abrahamowicz,
Todd Mackenzie,
JohnM. Esdaile,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1996)
卷期:
Volume 91,
issue 436
页码: 1432-1439
ISSN:0162-1459
年代: 1996
DOI:10.1080/01621459.1996.10476711
出版商: Taylor & Francis Group
关键词: Akaike information criterion;Partial likelihood;Proportional hazards;Regression splines;Survival analysis
数据来源: Taylor
摘要:
We investigate the association between duration of untreated disease and survival in lupus nephritis, a rare rheumatologic disease. In this case, as in many other studies of survival, a priori considerations suggest that the effect of the predictor on hazard may change with increasing follow-up time. To accommodate such situations, we use regression splines to model the hazard ratio as a flexible function of time. We propose model-based tests of the hypotheses of hazards proportionality and of no association. We evaluate the accuracy of estimation and inference in simulations and also present analysis of a larger medical data set.
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