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Estimating the False Discovery Rate FDR using SAS

False Discovery Rate (FDR). The FDR has received much attention as an alternative way of quantifying type I errors in multiple comparisons problemsthe development of high throughput technology in the field of genomicstest many hypotheses simultaneouslyTraditional approaches to controlling error r

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Estimating the False Discovery Rate FDR using SAS

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    1. Jason A. Osborne North Carolina State University Raleigh, NC Estimating the False Discovery Rate (FDR) using SAS 1

    2. False Discovery Rate (FDR) The FDR has received much attention as an alternative way of quantifying type I errors in multiple comparisons problems the development of high throughput technology in the field of genomics test many hypotheses simultaneously Traditional approaches to controlling error rates in the presence of a large number of comparisons include strong and weak control of familywise error rates (FWR), using techniques such as the Bonferroni correction. 2

    3. False Discovery Rate (FDR) Several quantifications of error rates are comparisonwise (CER), familywise (FWE) and false discovery (FDR). A procedure that controls these error rates satisfies the following inequalities: ? the error rate under Ho ? any type I error ? the error rate among positives 3

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