Core Seminar Series

Core Seminars


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.

Clinical Research With Electronic Health Records

Tuesday, January 26, 2016 - 03:00 at Hock Plaza 11th Floor #111025

Ben Goldstein, PhD Assistant Professor of Biostatistics and Bioinformatics Abstract: Electronic Health Records (EHRs) constitute an increasingly common data source for clinical research. They represent a "cheap" source of data that often have information on many people at multiple time points across a variety of medical conditions. However, since EHR...
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The Biostatistics Core Training and Internship Program Interns

Friday, November 13, 2015 - 14:30 at Hock Plaza 11th Floor #11025

Kathy Zhou, Biostatistics Core Intern & Masters of Biostatistics Student Liqi Feng, Biostatistics Core Intern & Masters of Biostatistics Student Jessica Liang, Biostatistics Core Intern & Masters of Biostatistics Student The Biostatistics Core Training and Internship Program Interns will be presenting the progress of a collaborative project they have been...
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Relating multi-sequence longitudinal data from MS lesions on structural MRI to clinical covariates and treatment

Tuesday, October 6, 2015 - 15:00 at Hock Plaza, 11th Floor Classroom

Elizabeth Sweeney PhD Candidate Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Abstract : Structural magnetic resonance imaging (MRI) can be used to detect lesions in the brains of multiple sclerosis (MS) patients. The formation of these lesions is a complex process involving inflammation, tissue damage, and tissue...
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A (small) Bag of Bayesian Tools for Biostatisticians

Tuesday, September 15, 2015 - 03:00 at Hock Plaza, 11th Floor Classroom

Sujit K. Ghosh, PhD Professor of Statistics NC State University Deputy Director, SAMSI Abstract: What is the chance an athlete didn't use doping given that s/he had a positive test? How would you compare two clinical treatments if they were never compared in a direct study? Can we combine outcomes...
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Analyzing data with the Generalized Estimating Equations (GEE)

Monday, August 10, 2015 - 14:00 at Hock Plaza, 11th Floor Classroom

Andrzej Kosinksi, PhD Associate Professor Department of Biostatistics and Bioinformatics Duke University Abstract : Examples of data analysis with GEE will be provided with attention given to comparison of performance of diagnostic tests. Possible bias resulting from use of a non-identity working correlation matrix will be mentioned. For example, this...
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