Sample size determination for the false discovery rate
نویسندگان
چکیده
منابع مشابه
Erratum: sample size determination for the false discovery rate
We have made corrections to the routines that were provided to implement Pounds and Cheng (2005) method to determine the sample size for a microarray experiment that uses the false discovery rate as the ultimate measure of statistical significance. Some routines in the original R and S-plus libraries did not properly account for differences between the definition of the noncentrality parameter ...
متن کاملSample size determination for the false discovery rate
MOTIVATION There is not a widely applicable method to determine the sample size for experiments basing statistical significance on the false discovery rate (FDR). RESULTS We propose and develop the anticipated FDR (aFDR) as a conceptual tool for determining sample size. We derive mathematical expressions for the aFDR and anticipated average statistical power. These expressions are used to dev...
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MOTIVATION In microarray data studies most researchers are keenly aware of the potentially high rate of false positives and the need to control it. One key statistical shift is the move away from the well-known P-value to false discovery rate (FDR). Less discussion perhaps has been spent on the sensitivity or the associated false negative rate (FNR). The purpose of this paper is to explain in s...
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Microarray experiments are becoming more and more popular and critical in many biological disciplines. As in any statistical experiment, appropriate experimental design is essential for reliable statistical inference, and sample size has a crucial role in experimental design. Because microarray experiments are rather costly, it is important to have an adequate sample size that will achieve a de...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2005
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bti699