|Title||Sample size/power calculation for stratified case-cohort design.|
|Publication Type||Journal Article|
|Year of Publication||2014|
|Authors||Hu, Wenrong, Jianwen Cai, and Donglin Zeng|
|Date Published||2014 Oct 15|
|Keywords||Cohort Studies, Computer Simulation, Coronary Disease, Epidemiologic Research Design, Female, Humans, Likelihood Functions, Male, Rare Diseases, Risk Assessment, Sample Size, Stroke|
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.
|Alternate Journal||Stat Med|
|Original Publication||Sample size/power calculation for stratified case-cohort design.|
|PubMed Central ID||PMC4159408|
|Grant List||R01 CA082659 / CA / NCI NIH HHS / United States |
UL1 TR001111 / TR / NCATS NIH HHS / United States
R37 GM047845 / GM / NIGMS NIH HHS / United States
UL1 RR025747 / RR / NCRR NIH HHS / United States
P01 CA142538 / CA / NCI NIH HHS / United States
Sample size/power calculation for stratified case-cohort design.