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Sample size/power calculation for stratified case–cohort design
Author(s) -
Hu Wenrong,
Cai Jianwen,
Zeng Donglin
Publication year - 2014
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.6215
Subject(s) - sample size determination , stratified sampling , statistics , sampling design , statistic , sampling (signal processing) , cohort , epidemiology , statistical power , cohort study , sample (material) , computer science , medicine , econometrics , mathematics , environmental health , population , chemistry , filter (signal processing) , chromatography , computer vision
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.