A Score Test for Determining Sample Size in Matched Case‐Control Studies with Categorical Exposure
A Score Test for Determining Sample Size in Matched Case‐Control Studies with Categorical Exposure
复制标题
用于确定分类暴露匹配病例对照研究中样本量的评分测试
DOI：
10.1002/bimj.200510200
复制
发表时间：
2006
影响因子：
1.7
通讯作者：
B. Mukherjee
中科院分区：
文献类型：
--
作者：
S. Sinha;B. Mukherjee
本文考虑了在1：M匹配病例对照研究中确定匹配集数量的问题，其中分类暴露具有k +1个类别，k ≥ 1。基本的兴趣在于构建一个检验统计量来检验暴露是否与疾病相关。Breslow和Day（1980）提供了具有二分暴露的1：M匹配病例对照研究和具有多个暴露水平的1：1匹配病例对照研究的k比值比估计值，但迄今为止尚未获得具有完全普遍性的结果。我们提出了一个分数检验的假设，没有关联的疾病和multichotomous暴露。我们利用该检验统计量的幂函数来计算所需的匹配集的数量，以检测与无关联的零假设的特定偏离。我们还考虑了当暴露变量的水平之间存在自然排序时的情况。对于有序暴露变量，我们提出了一种检测疾病风险随暴露变量水平增加的趋势的检验。我们的方法用两个数据集来说明，一个是关于大鼠结直肠癌的真实的数据集，另一个是用于研究疾病-基因关联的模拟数据集。（© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA，魏因海姆）
The paper considers the problem of determining the number of matched sets in 1 : M matched case‐control studies with a categorical exposure having k +1 categories, k ≥ 1. The basic interest lies in constructing a test statistic to test whether the exposure is associated with the disease. Estimates of the k odds ratios for 1 : M matched case‐control studies with dichotomous exposure and for 1 : 1 matched case‐control studies with exposure at several levels are presented in Breslow and Day (1980), but results holding in full generality were not available so far. We propose a score test for testing the hypothesis of no association between disease and the polychotomous exposure. We exploit the power function of this test statistic to calculate the required number of matched sets to detect specific departures from the null hypothesis of no association. We also consider the situation when there is a natural ordering among the levels of the exposure variable. For ordinal exposure variables, we propose a test for detecting trend in disease risk with increasing levels of the exposure variable. Our methods are illustrated with two datasets, one is a real dataset on colorectal cancer in rats and the other a simulated dataset for studying disease‐gene association. (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
影响因子：
4.7
作者：
Hong, MY;Chapkin, RS;Lupton, JR
通讯作者：
Lupton, JR
影响因子：
1.9
作者：
DUPONT, WD
通讯作者：
DUPONT, WD