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Sample Size Growth with an Increasing Number of Comparisons
Joint Authors
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
An appropriate sample size is crucial for the success of many studies that involve a large number of comparisons.
Sample size formulas for testing multiple hypotheses are provided in this paper.
They can be used to determine the sample sizes required to provide adequate power while controlling familywise error rate or false discovery rate, to derive the growth rate of sample size with respect to an increasing number of comparisons or decrease in effect size, and to assess reliability of study designs.
It is demonstrated that practical sample sizes can often be achieved even when adjustments for a large number of comparisons are made as in many genomewide studies.
American Psychological Association (APA)
Tseng, Chi-Hong& Shao, Yongzhao. 2012. Sample Size Growth with an Increasing Number of Comparisons. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-509498
Modern Language Association (MLA)
Tseng, Chi-Hong& Shao, Yongzhao. Sample Size Growth with an Increasing Number of Comparisons. Journal of Probability and Statistics No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-509498
American Medical Association (AMA)
Tseng, Chi-Hong& Shao, Yongzhao. Sample Size Growth with an Increasing Number of Comparisons. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-509498
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509498