Statistical Workshop Series

False Discovery Rate and other Multiple Testing Type I Errors

Jeffrey Miecznikowski, PhD.

Jeffrey Miecznikowski, PhD

Associate Professor

Dept. of Biostatistics

School of Public Health and Health Professions

University at Buffalo

Tuesday, November 5, 2019

4:00 – 6:00 p.m.

144 Farber Hall

South Campus

University at Buffalo

The control of Type I error is critical when conducting many hypothesis tests which occurs for example, when assessing differential expression for many genes or transcripts.

This workshop will define several Type I errors including the false discovery rate that may be reasonable in a multiple testing setting as well as discuss approaches to estimate and control that error.               

The objectives of this workshop are:

1.  Understand the multiple testing problem

2.  Understand the concept of false discovery rate and how it's estimated

This workshop series is free and open to all students, fellows, faculty and staff at UB and the Buffalo Translational Consortium.



ACCREDITATION: The University at Buffalo Jacobs School of Medicine and Biomedical Sciences is accredited by the ACCME to provide continuing medical education for physicians.

CERTIFICATION: The University at Buffalo Jacobs School of Medicine and Biomedical Sciences designates this live activity for a maximum of 2.0 AMA PRA Category 1 Credit(s)TM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.

CREDIT: This program is supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under award number UL1TR001412.