Approaches for calculating power for case-cohort studies

Mimi Y. Kim; Xiaonan Xue; Yunling Du

doi:10.1111/j.1541-0420.2006.00639_1.x

Approaches for calculating power for case-cohort studies

Mimi Y. Kim, Xiaonan Xue, Yunling Du

Epidemiology & Population Health

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	929-933
Number of pages	5
Journal	Biometrics
Volume	62
Issue number	3
DOIs	https://doi.org/10.1111/j.1541-0420.2006.00639_1.x
State	Published - Sep 2006

Keywords

Case-cohort design
Power
Sample size

ASJC Scopus subject areas

Statistics and Probability
Biochemistry, Genetics and Molecular Biology(all)
Immunology and Microbiology(all)
Agricultural and Biological Sciences(all)
Applied Mathematics

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10.1111/j.1541-0420.2006.00639_1.x

Cite this

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KW - Sample size

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Approaches for calculating power for case-cohort studies

Abstract

Keywords

ASJC Scopus subject areas

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