
A Comparison of the False Discovery Rate with Dunnett’s Test for a Large Number of Treatments
Author(s) -
Kayéromi Gomez,
Curt Doetkott,
Rhonda Magel
Publication year - 2016
Publication title -
journal of advance research in mathematics and statistics
Language(s) - English
Resource type - Journals
ISSN - 2208-2409
DOI - 10.53555/nnms.v3i7.548
Subject(s) - false discovery rate , multiple comparisons problem , statistics , mathematics , type i and type ii errors , sample size determination , computer science , chemistry , biochemistry , gene
Probabilities of two types of errors are estimated for the False Discovery Rate Procedure (FDR), Dunnett’s test, and conducting individual t-tests when treatments are being compared against a control. Probabilities for two types of powers are also estimated. The number of treatments considered is 50, 100, 150, and 300 with the first treatment being the control. Differing numbers of treatments equal to the control are considered with equal sample sizes of 3 and 5.