STATISTICAL-MODELS FOR PREVALENT COHORT DATA
STATISTICAL-MODELS FOR PREVALENT COHORT DATA
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DOI：
10.2307/2532597
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发表时间：
1993-03-01
期刊：
影响因子：
1.9
通讯作者：
JEWELL, NP
中科院分区：
文献类型：
--
作者：
WANG, MC;BROOKMEYER, R;JEWELL, NP
在前瞻性队列研究中，有时根据某一横截面抽样标准招募个体。流行队列定义为入组研究时患有某种疾病的一组个体。流行队列数据分析的统计模型被认为是当疾病的发病或诊断时间是已知的。事件比例风险模型，其中的时间尺度是疾病的持续时间，比较流行的比例风险模型，其中的基本时间尺度是随访时间。在某些情况下，入组时间可能与另一事件（如开始治疗）一致。这种情况也被认为是和它的局限性突出。为了说明本文讨论的方法论思想，齐多夫定（ZVD）在获得性免疫缺陷综合征（AIDS）患者的观察性研究的数据分析。
In prospective cohort studies individuals are sometimes recruited according to a certain cross-sectional sampling criterion. A prevalent cohort is defined as a group of individuals who have a certain disease at enrollment into the study. Statistical models for the analysis of prevalent cohort data are considered when the onset or diagnosis time of the disease is known. The incident proportional hazards model, where the time scale is duration with disease, is compared to the prevalent proportional hazards model, where the fundamental time scale is follow-up time. In certain cases the time of enrollment may coincide with another event (such as the initiation of treatment). This situation is also considered and its limitations highlighted. To illustrate the methodological ideas discussed in the paper, the analysis of data from an observational study of zidovudine (ZVD) in patients with the acquired immunodeficiency syndrome (AIDS) is presented.