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.

Intern Presentations

Monday, November 3, 2014 - 01:30 at Hock Plaza, 11th Floor Classroom (#11110)

Intern Presentations Biostats Core Department of Biostatistics and Bioinformatics Duke University
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John Gallis

Monday, October 20, 2014 - 02:00 at Hock Plaza 11th Floor Classroom

John Gallis Biostatistician II Department of Biostatistics and Bioinformatics Duke Unversity I will present a brief background on spatial statistics and geostatistics in particular. Then I will launch right in to a case study demonstrating the use of geostatistics for spatial inference and prediction, using R and ArcGIS. Geostatistics is...
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Some Hidden Pitfalls for Data Analysis in Interdisciplinary Collaborative Biomedical Research Projects and Ideas for Addressing them

Monday, September 15, 2014 - 02:00 at Hock Plaza, 11th Floor Classroom

A Statistical Perspective Greg Samsa, PhD Associate Professor Department of Biostatistics and Bioinformatics Duke University The goal of this session is to reflect on our experience as statisticians about some of the hidden pitfalls that can affect the analysis of data from interdisciplinary biomedical projects. For example, conceptual pitfalls include...
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Analysis of a Continuous Variable Obtained from Repeated Measures in the Presence of Differing Amounts of Follow Up

Monday, July 14, 2014 - 02:00 at Hock Plaza, 11th Floor Classroom

Samuel Broderick, MS Biostatistician III Duke Clinical Research Unit In health outcome studies there may be interest in analyzing a continuous result that is obtained from repeated measures. Examples include total hospital utilization, average quality of life, total medication exposure and total medical costs over time. In some cases there...
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Multiple Imputatoin Methods using PROC MI and the IVEWare Macro

Monday, June 16, 2014 - 02:00 at Hock Plaza, 11th Floor Classroom

Maren Olsen, PhD Associate Professor Department of Biostatistics and Bioinformatics Duke University At my last presentation (in March), I introduced multiple imputation as a general strategy for handling missing data in clinical research. In this presentation, I will describe in greater detail how to actually implement multiple imputation using PROC...
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