Multiple comparisons are commonly made in epidemiologic and genetic research. How to appropriately adjust for multiple comparisons remains a controversial issue. This note demonstrates, however, that large increases in the number of comparisons has a limited e!ect on the sample size required to main
Sample size computation for designing multiple comparison experiments
โ Scribed by Jason C. Hsu
- Publisher
- Elsevier Science
- Year
- 1988
- Tongue
- English
- Weight
- 840 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0167-9473
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In experiments designed to estimate a binomial parameter, sample sizes are often calculated to ensure that the point estimate will be within a desired distance from the true value with sufficiently high probability. Since exact calculations resulting from the standard formulation of this problem can
Methods for optimal sample size determination are developed using four popular multiple comparison procedures (Sche!e's, Bonferroni's, Tukey's and Dunnett's procedures), where random samples of the same size n are to be selected from k (\*2) normal populations with common variance , and where primar
Investigations of sample size for planning casecontrol studies have usually been limited to detecting a single factor. In this paper, we investigate sample size for multiple risk factors in strata-matched casecontrol studies. We construct an omnibus statistic for testing M different risk factors bas
## Abstract Sample size planning is one of the most important issues in the design of a study. Simple and accurate sample size formulas for a desired confidence interval width have been developed for many statistical procedures, but a simple and accurate sample size formula for the squared multiple