Sample size/power calculation for stratified case-cohort design.
Sample size/power calculation for stratified case-cohort design.
复制标题
分层病例队列设计的样本量/功效计算。
DOI：
10.1002/sim.6215
复制
发表时间：
2014
影响因子：
2
通讯作者：
Zeng,Donglin
中科院分区：
文献类型：
--
作者：
Hu,Wenrong;Cai,Jianwen;Zeng,Donglin
病例-队列（CC）研究设计通常用于流行病学研究或罕见病预防试验的风险因素评估。分层CC（SCC）设计的样本量/把握度计算之前尚未解决。本文基于一个分层检验统计量推导出这样的结果。模拟研究表明，利用小子队列抽样分数的SCC设计的拟议检验对于疾病发生率较低的情况是有效和高效的。此外，SCC设计中的采样优化进行了讨论，并与比例和平衡采样技术进行了比较。提供了一个流行病学研究来说明SCC设计下的样本量计算。版权所有© 2014约翰威利父子有限公司.
The case–cohort (CC) study design usually has been used for risk factor assessment in epidemiologic studies or disease prevention trials for rare diseases. The sample size/power calculation for a stratified CC (SCC) design has not been addressed before. This article derives such result based on a stratified test statistic. Simulation studies show that the proposed test for the SCC design utilizing small sub‐cohort sampling fractions is valid and efficient for situations where the disease rate is low. Furthermore, optimization of sampling in the SCC design is discussed and compared with proportional and balanced sampling techniques. An epidemiological study is provided to illustrate the sample size calculation under the SCC design. Copyright © 2014 John Wiley & Sons, Ltd.