An introduction to error rate concepts in biomarker studies
*Jason C Hsu, The Ohio State University & Eli Lilly and Company Keywords: Personalized medicine, multiplicity, error rates Statistical analyses of biomarker studies involve new challenges. This session will give an overview of the multiplicity issues involved. We will first review fundamentally the reason for controlling (Type I) error rates, in a regulated industry. Then we review why controlling Tukey’s (1953) familywise error rate (FWER) has been the practice in clinical trials. Finally, we will consider alternative error rates, more liberal than FWER, that may be useful in biomarker studies. These include Tukey’s per family error rate, Benjamini and Hochberg's false discovery rate (FDR), Efron’s local Fdr, and generalized Familwise error rate.
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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