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Approaches for Calculating Power for Case–Cohort Studies
Author(s) -
Kim Mimi Y.,
Xue Xiaonan,
Du Yunling
Publication year - 2006
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.1541-0420.2006.00639_1.x
Subject(s) - biometrics , cohort , computer science , sample size determination , statistics , event (particle physics) , software , binary number , power (physics) , variable (mathematics) , sample (material) , econometrics , data mining , mathematics , artificial intelligence , mathematical analysis , physics , chemistry , arithmetic , chromatography , quantum mechanics , programming language
Summary An approach for determining the power of a case–cohort study for a single binary exposure variable and a low failure rate was recently proposed by Cai and Zeng (2004, Biometrics 60, 1015–1024). In this article, we show that computing power for a case–cohort study using a standard case–control method yields nearly identical levels of power. An advantage of the case–control approach is that existing sample size software can be used for the calculations. We also propose an additional formula for computing the power of a case–cohort study for the situation when the event is not rare.