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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 10/25/2018 3:30PM - 4:30PM
Dana L. Tudorascu, University of Pittsburgh
Public Health Auditorium (G23)

Dana Tudorascu, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, will present, “Technical Challenges in the Statistical Analysis of Neuroimaging Studies of Alzheimer's Disease”.
Thu 11/1/2018 3:30PM - 4:30PM
Jingyi (Jessica) Li, University of California, Los Angeles
Public Health Auditorium (G23)

Jingyi (Jessica) Li, Department of Statistics and Department of Human Genetics, University of California, Los Angeles, will present, “Neyman-Pearson Classification Algorithms and NP Receiver Operating Characteristics”.
Thu 11/8/2018 3:30PM - 4:30PM
Hongzhe Lee, University of Pennsylvania
Public Health Auditorium (G23)

Hongzhe Lee, Department of Biostatistics and Epidemiology, University of Pennsylvania, will present, “Optimal Permutation Recovery and Estimation of Bacterial Growth Dynamics”.
Thu 11/29/2018 3:30PM - 4:30PM
Dulal K. Bhaumik, University of Illinois at Chicago
Public Health Auditorium (G23)

Thu 12/6/2018 3:30PM - 4:30PM
Student/Faculty Presentations
Public Health Auditorium (G23)

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


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

Bernadette Kapko

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