Power/Sample Size Determination for High Dimensional Data Experiments
View Presentation *Gengqian Cai, GlaxoSmithKline Keywords: false discovery rate, mixture model In high dimensional data analyses, while the false discovery rate (FDR) has been widely used as an appropriate error rate to control, not much progress has been made on the issue of sample size calculation with FDR controlling requirement for the design stage. We investigate powers and the related problem of sample size determination for current FDR controlling procedures under a mixture model involving independent test statistics. A practical sample size/power strategy is proposed for FDR controlling procedures with certain power requirements for high dimensional data experiments.
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Key Dates
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April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
Online Registration Opens -
August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
Short Course materials due from Instructors -
August 26, 2013
Housing Deadline -
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC