Evaluations of FDR-controlling procedures in multiple hypothesis testing |
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Authors: | Yi-Ting Hwang Shih-Kai Chu Shyh-Tyan Ou |
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Institution: | 1.Department of Statistics,National Taipei University,Taipei,Taiwan |
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Abstract: | Many exploratory experiments such as DNA microarray or brain imaging require simultaneously comparisons of hundreds or thousands
of hypotheses. Under such a setting, using the false discovery rate (FDR) as an overall Type I error is recommended (Benjamini
and Hochberg in J. R. Stat. Soc. B 57:289–300, 1995). Many FDR controlling procedures have been proposed. However, when evaluating the performance of FDR-controlling procedures,
researchers are often focused on the ability of procedures to control the FDR and to achieve high power. Meanwhile, under
the multiple hypotheses, it may be also likely to commit a false non-discovery or fail to claim a true non-significance. In
addition, various experimental parameters such as the number of hypotheses, the proportion of the number of true null hypotheses
to the number of hypotheses, the samples size and the correlation structure may affect the performance of FDR controlling
procedures. The purpose of this paper is to illustrate the performance of some existing FDR controlling procedures in terms
of four indices, i.e., the FDR, the false non-discovery rate, the sensitivity and the specificity. Analytical results of these
indices for the FDR controlling procedures are derived. Simulations are also performed to evaluate the performance of controlling
procedures in terms of these indices under various experimental parameters. The result can be used to summarize as a guidance
for practitioners to properly choose a FDR controlling procedure. |
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