On the relative sample size required for multiple comparisons
作者： John S Witte , Robert C Elston , Lon R Cardon , None
DOI: 10.1002/(SICI)1097-0258(20000215)19:3<369::AID-SIM335>3.0.CO;2-N
关键词: Correlation 、 Econometrics 、 Quantitative analysis (finance) 、 Sample size determination 、 Logarithm 、 Sampling (statistics) 、 Multivariate analysis 、 Mathematics 、 Multiple comparisons problem 、 Statistics 、 Statistics and Probability 、 Epidemiology
摘要: Multiple comparisons are commonly made in epidemiologic and genetic research. How to appropriately adjust for multiple remains a controversial issue. This note demonstrates, however, that large increases the number of has limited effect on sample size required maintain an experimentwise α-level. In particular, relative only linearly with logarithm made. Copyright © 2000 John Wiley & Sons, Ltd.
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