Time-dependent hazard ratio: Modeling and hypothesis testing with application in lupus nephritis
Time-dependent hazard ratio: Modeling and hypothesis testing with application in lupus nephritis
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DOI：
10.2307/2291569
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发表时间：
1996-12-01
影响因子：
3.7
通讯作者：
Esdaile, JM
中科院分区：
文献类型：
--
作者：
Abrahamowicz, M;MacKenzie, T;Esdaile, JM
我们研究了狼疮性肾炎（一种罕见的风湿病）未治疗疾病的持续时间与生存之间的关系。在这种情况下，与许多其他生存研究一样，先验考虑表明预测因素对危险的影响可能会随着时间的增加而改变。随访时间。为了适应这种情况，我们使用回归样条将风险比建模为时间的灵活函数。我们提出了基于模型的测试的假设的危害比例和没有关联。我们评估了模拟中估计和推断的准确性，并对更大的医疗数据集进行了分析。
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.