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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

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: Ying Huang, Fred Hutchinson Cancer Research Center

Thursday 10/26 3:30PM - 5:00PM
Public Health Auditorium (G23)


Biostatistics Seminar guest speaker, Ying Huang, Fred Hutchinson Cancer Research Center, will present, "Inferential Procedures for the Use of Biomarkers in Treatment Selection".

Biomarkers associated with treatment-effect heterogeneity have the potential to make treatment recommendations more personalized to achieve the best clinical outcomes. While interest in the development of statistical methodology for estimating optimal treatment-selection biomarker panels has grown in recent years, the corresponding developments in inference have been inadequate.  In this talk we will present two recent developments on inferential procedures for the use of biomarkers in treatment selection, motivated by data arising from HIV-1 vaccine trials.  The first problem focuses on the personalized use of a treatment-selection biomarker panel developed using either a risk modeling approach or a policy-based approach. We propose inferential procedures on a new biomarker-panel’s covariate-specific incremental value, for the purpose of identifying subpopulations that will benefit most from the marker panel. The second problem focuses on the use of threshold regression models to identify subgroups with heterogeneous treatment effect. We propose procedures for testing the existence of biomarker combinations that naturally separate a population into such subgroups.

 

 

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

Contact

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

Bernadette Kapko
bkapko@pitt.edu
412-624-3022

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