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.

Chalk Talk with Sharon Lutz, PhD

Tuesday, February 7, 2017 - 12:00 at Medical Sciences Research Building I (MSRBI), Suite 301

An interactive discussion of projects /directions that are being explored, explained with anticipated problems and potential solutions. It is a less structured but active discussion and study with participants often asking clarifying questions or suggesting higher level alternatives. Speaker: Sharon M. Lutz, PhD Assistant Professor, Department of Biostatistics and Informatics...
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A General Approach to Testing for Pleiotropy with Rare and Common Variants

Monday, February 6, 2017 - 02:00 at Hock Plaza 8th Floor Room 8065

Through genome-wide association studies, numerous genes have been shown to be associated with multiple phenotypes. To determine the overlap of genetic susceptibility of correlated phenotypes, one can apply multivariate regression or dimension reduction techniques, such as principal components analysis, and test for the association with the principal components of the...
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Integrating Data for Comparative Effectiveness Research

Friday, February 3, 2017 - 01:00 at Hock Plaza 8th Floor #8055

Abstract : Comparative effectiveness research helps answer “what works best” and provide evidence on the effectiveness, benefits, and harms of different treatments. When multiple sources of data exist on a particular question the evidence should be obtained by integrating those sources in a principled way. Network meta-analysis (NMA) is an...
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Bayesian Methods for Multiple Mediators

Tuesday, January 31, 2017 - 12:00 at Hock Plaza 2nd Floor CRTP Classroom

Relating Principal Stratification and Causal Mediation in the Analysis of Power Plant Emission Controls Abstract: Emission control technologies installed on power plant smokestacks are a key feature of many air pollution regulations in the US. While such regulations are predicated on the presumed relationships between emissions, ambient air pollution, and...
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From Big Data to Big Statistics

John Sall
Thursday, January 26, 2017 - 10:00 at Hock Plaza 2nd Floor CRTP Classroom

Now that we have Big Data we have new challenges. Abstract: When big data is wide data there are too many things to look at. When we screen for just the big effects, we need to worry about selection bias. When we graph p-values, all the good ones bunch together...
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