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Biostatistics Seminars

Department of Biostatistics Seminar Series

The Department of Biostatistics presents a regular speaker series each semester, generally on Thursday afternoon each week. Diverse experts lecture on their work in biostatistics.

Upcoming Biostats Seminars

Tue 1/16/2018 2:30PM - 3:30PM
Lu Tang, University of Michigan on "Fusion Learning in Integrative Data Analysis"
Public Health 1149

Biostatistics guest speaker, Lu Tang, University of Michigan, will present, "Fusion Learning in Integrative Data Analysis."

Thu 1/18/2018 3:30PM - 4:30PM
Michael Sohn, University of Pennsylvania
Public Health Auditorium (G23)

Biostatistics guest speaker, Michael Sohn, University of Pennsylvania, will present, "Statistical Methods in Microbiome Data Analysis."

Tue 1/23/2018 3:00PM - 4:00PM
Zhixiang Lin, Stanford University
Public Health A522

Biostatistics guest speaker, Zhixiang Lin, Stanford University, will present, "Statistical methods for high-throughput genomic data."
Thu 1/25/2018 3:30PM - 4:30PM
David Gerard, University of Chicago
Public Health Auditorium (G23)

Biostatistics guest speaker, David Gerard, University of Chicago, will present, " Better Genotyping for Polyploids."
Thu 4/5/2018 3:30PM - 4:30PM
Seonjoo Lee, Columbia University
Public Health Auditorium (G23)

Biostatistics guest speaker, Seonjoo Lee, Columbia University, will present.
Thu 4/12/2018 3:30PM - 4:30PM
Ciprian Crainiceanu, Johns Hopkins University
Public Health Auditorium (G23)

Biostatistics guest speaker, Ciprian Crainiceanu, Johns Hopkins University, will present.
Thu 4/19/2018 3:30PM - 4:30PM
Wensheng Guo, University of Pennsylvania
Public Health Auditorium (G23)

Biostatistics guest speaker, Wensheng Guo, University of Pennsylvania, will present.

Previous Biostats Seminars

Biostatistics Seminar Series

Biostatistics Seminar: Dong-Yun Kim, Georgetown University

Thursday 11/2 3:30PM - 5:00PM
Public Health Auditorium (G23)

Biostatistics Seminar guest speaker, Dong-Yun Kim, PhD, Adjunct Associate Professor, Georgetown University, will present, "Continuous Monitoring of Patient Accrual in Multi-center Clinical Trials".

In this talk we introduce Sequential Patient Recruit Monitoring (SPRM), a new and efficient accrual monitoring method. Built on a sequential probability ratio test using Woodroofe boundaries, SPRM is an evidence-based, decision-support tool that provides opportunity for corrective action in a timely manner. Suitable for the modern, centralized data management environment, it requires minimal effort to maintain. The method can easily accommodate protocol changes involving sample size and/or recruitment period modification. We illustrate the method using real accrual data from two phase III, multi-center clinical trials.


Last Updated On Thursday, October 12, 2017 by Haydo, Amber LC
Created On Wednesday, August 09, 2017


For information on seminars and events in the department, contact:

Bernadette Kapko

© 2018 by University of Pittsburgh Graduate School of Public Health

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