A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up
A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up
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DOI：
10.1007/s10985-006-9012-2
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发表时间：
2006-09-01
影响因子：
1.3
通讯作者：
Wolfson, David B.
中科院分区：
文献类型：
--
作者：
Addona, Vittorio;Wolfson, David B.
在随访的流行队列研究中，由于只能确定流行病例的发病时间，因此无法直接观察发病过程。评估潜在发病率过程的“平稳性”至少有三个原因是重要的，包括在估计幸存者函数时提高效率。我们提出，第一次，一个正式的测试平稳性使用的数据，从流行的队列研究与后续。该测试利用平稳性的表征，本文中开发的这种表征的扩展，以及对右删失数据的匹配测试。我们报告的结果，从权力的研究假设不同程度的偏离平稳的零假设。该测试也适用于作为加拿大健康与老龄化研究（CSHA）的一部分获得的数据，以验证加拿大老年人痴呆症的发病率是否保持不变。
In a prevalent cohort study with follow-up, the incidence process is not directly observed since only the onset times of prevalent cases can be ascertained. Assessing the "stationarity" of the underlying incidence process can be important for at least three reasons, including an improvement in efficiency when estimating the survivor function. We propose, for the first time, a formal test for stationarity using data from a prevalent cohort study with follow-up. The test makes use of a characterization of stationarity, an extension of this characterization developed in this paper, and of a test for matched pairs of right censored data. We report the results from a power study assuming varying degrees of departure from the null hypothesis of stationarity. The test is also applied to data obtained as part of the Canadian Study of Health and Aging (CSHA) to verify whether the incidence rate of dementia amongst the elderly in Canada has remained constant.