Seminar Series

The Applied Biostatistics Seminar Series consists of a series of talks with the primary purpose of furthering statistical knowledge on an applied level. Talks will focus on advances in biostatistical methods and statistical programming techniques and their translation into addressing biomedical research questions. The seminars are open to all members of the Duke community, but primarily geared toward applied statistical researchers.

Scott Zeger, PhD: Distinguished Speaker Series

Tuesday, October 3, 2017 - 12:00 at North Pavilion, Lower Level Lecture Hall

Title: Population and Individualized Health (Precision Medicine); Two Sides of the Same Coin More than a 125 years ago, American universities created the current academic medical model on a foundation of the emerging biological sciences. Today, because of the intertwined revolutions in biological and information technologies, biomedicine has become increasingly...
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Scott Zeger, PhD: Distinguished Speaker Series

Monday, October 2, 2017 - 03:00 at Hock Plaza, Ground Floor Auditorium

Title: Bayesian Hierarchical Models to Improve Clinical and Public Health Decisions This talk will frame key health questions in statistical terms. It will offer a Bayesian hierarchical modeling approach that integrates potentially complex data with prior biomedical knowledge to empirically address the questions. It will then present two applications of...
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Genome-Wide Insights into the Efficiency of Cellular Reprogramming

Dr. Raluca Gordan
Thursday, September 7, 2017 - 12:00 at CIEMAS Schiciano B

Cellular transdifferentiation systems are increasingly being used in basic and translational research studies. Still, our understanding of transdifferentiation processes is limited. It is oftentimes unknown, at a genome-wide scale, how much transdifferentiated cells differ quantitatively from both the starting cells and the target cells. Focusing on transdifferentiation of primary human...
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Late Failures in Therapeutic Development: Why do they occur Frequently?

Steven Piantadosi
Monday, August 28, 2017 - 03:30 at Hock Plaza, Ground Floor Auditorium

This is an examination of the development pipeline from the perspective of the frequency of false positive treatments that eventually fail. With regard to them, the pipeline can be seen to be a Bayesian learning algorithm, and can be described quantitatively. As such, even a modest failure rate suggests that...
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Precision Medicine Informatics

Warren Kibbe
Friday, May 19, 2017 - 11:00 at Hock Plaza 2nd Floor, CRTP Classroom

The promise of Precision Medicine is to match patients to screening, therapy, and prevention programs that are safe and effective for them. How do we effectively build systems and deploy technology to generate the necessary evidence and convert it into learning and practice? I will present the current thinking behind...
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