Directory Calendar News Careers Alumni Giving

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 9/27/2018 3:30PM - 4:30PM
Hyun Jung (HJ) Park, University of Pittsburgh
Public Health Auditorium (G23)

Hyun Jung (HJ) Park, Department of Human Genetics, University of Pittsburgh, will present, “Insights into RNA Biology from Statistical Modeling for CancerTherapeutics”.
Thu 10/4/2018 3:30PM - 4:30PM
Peter X.K. Song, University of Michigan
Public Health Auditorium (G23)

Peter X.K. Song, Department of Biostatistics, University of Michigan, will present, “HASS: Hybrid Algorithm for Subgroup Search via ADMM and EM Algorithms”.
Thu 10/25/2018 3:30PM - 4:30PM
Dana L. Tudorascu, University of Pittsburgh
Public Health Auditorium (G23)

Thu 11/1/2018 3:30PM - 4:30PM
Jingyi (Jessica) Li, University of California, Los Angeles
Public Health Auditorium (G23)

Thu 11/8/2018 3:30PM - 4:30PM
Hongzhe Li (Lee), University of Pennsylvania
Public Health Auditorium (G23)

Thu 11/29/2018 3:30PM - 4:30PM
Dulal K. Bhaumik, University of Illinois at Chicago
Public Health Auditorium (G23)

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

Contact

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

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

© 2018 by University of Pittsburgh Graduate School of Public Health

Login  |  Sitemap