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.

Scalable Methods for Understanding the Genetic Architecture of Complex Traits

Friday, March 22, 2019 - 11:00 at MSRB III 1125

Thanks to the decreasing cost of sequencing and improved statistical methods for genotype imputation, it is now possible to aggregate large datasets with millions of individuals to study the genetics of complex traits. Previous studies on the smoking and drinking addictions were hampered by the lack of power and very...
Read More

Quantifying Gerrymandering or A Mathematician Goes to Court

Jonathan C. Mattingly, PhD
Friday, February 22, 2019 - 12:00 at MSRB1 #001 Seminar Room

Abstract: In October 2017, I found myself testifying for hours in a Federal court. I had not been arrested. Rather I was attempting to quantify gerrymandering using a mathematical analysis which grew from asking if a surprising 2012 election was in fact, surprising. It hinged on probing the geopolitical structure...
Read More

Measuring the mortality reductions produced by organized cancer screening: a principled approach

James A Hanley, PhD
Friday, February 1, 2019 - 12:00 at MSRB1 #001 Seminar Room

Abstract: In cancer screening trials, or in comparisons involving regions that did/did not introduce population-based screening programs, the mortality reductions are usually summarized by an overall (single-number) mortality reduction. But this overall mortality reduction is an average of minimal reductions in the first years, larger ones after some years, waning...
Read More

Propensity Score Weighting for Causal Inference with Multiple Treatments

Fan Li
Thursday, January 31, 2019 - 11:00 at CRTP Classroom

Abstract : Unconfounded comparisons of multiple groups are common in observational studies. Motivated from an observational study comparing three medications (causal comparison) and a racial disparity study in health services research (unconfounded descriptive comparison), we propose a unified framework, the balancing weights, for estimating causal effects with multiple treatments using...
Read More

The Informatics-Assisted Oncologist

Julian Hong, MD, MS
Thursday, November 8, 2018 - 02:00 at Hock Plaza 8th Floor #8065

Abstract: A learning Healthcare System continues to be an ambitious pursuit of medicine. Informatics-based approaches can allow the transformation of routine clinical health data into usable information and subsequent actionable clniical knowledge. Despite the great potential of advanced computational techniques, barriers to adoption continue to exist in the clinic due...
Read More