Analysis of quantitative data by quantiles in epidemiologic studies: classification according to cases, noncases, or all subjects?
Analysis of quantitative data by quantiles in epidemiologic studies: classification according to cases, noncases, or all subjects?
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DOI：
10.1097/00001648-199103000-00008
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发表时间：
1991-03-01
期刊：
影响因子：
--
通讯作者：
Roberston, C
中科院分区：
文献类型：
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作者：
Hsieh, C C;Maisonneuve, P;Roberston, C
流行病学研究中的定量暴露数据经常通过有序类别分析。分位数分类可以基于（1）案例，（2）非案例和（3）所有受试者的分布。比较了三个方案在确定分位数方面的优势。在广泛的研究情况下，他们发现他们对趋势的测试具有相同的力量。对代表性和易于分析实施的考虑可以决定分类方案的选择。
Quantitative exposure data in epidemiologic studies are frequently analyzed by ordered categories. Categorization by quantiles can be based on the distribution of (1) cases, (2) noncases, and (3) all subjects. The advantages of the three schemes in determining quantiles were compared. They were found to give the same power regarding a test for trend over a wide range of study situations. Considerations on the representativeness and the ease of the analysis implementation could dictate the choice of the categorization scheme.