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.

Regressional Analysis of Microbiome Compositional Data

Pixu Shi
Monday, February 3, 2020 - 11:00 at Hock Plaza, 8th Floor #8065

Abstract: In microbiome and genomic studies, the regression of compositional data has been a crucial tool for identifying microbial taxa or genes that are associated with clinical phenotypes. To account for the variation in sequencing depth and high dimensionality of read counts, a high-dimensional log-contrast model is often used where...
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Rule based methods for analysis of omics data

Juilee Thakar, PhD
Friday, January 31, 2020 - 02:00 at Hock Plaza, 8th Floor #8065

Abstract : Discrete-state modeling is one of the very few feasible techniques to develop conceptual model from large scale omics datasets. These models are parameter free and allow development of pseudo-dynamic models of signaling cascades and pathways. In my talk I will introduce discrete state modeling and discuss our recent...
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Sample Size and Power Caculation for Cluster Randomized Trial

Hrishikesh Chakraborty, DRPH
Wednesday, January 8, 2020 - 12:00 at Hock Plaza, 8th Floor #8065

Abstract: Cluster randomized trial (CRT) generate correlated observations and researchers need to account for the correlated observations during sample size calculation. Intra-cluster correlation (ICC) is a measure of the average Correlation within clusters and precisee ICC estimates are key to calculate sample size for CRT. There have been methods developed...
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We Need Better Tools to Solve These Problems

Michael Baiocchi, PhD
Thursday, November 21, 2019 - 12:00 at Hock Plaza 8th Floor #8065

A (friendly) introduction to several new statistical techniques to improve your research Abstract : Our team's research on preventing sexual assault in Kenya has led to the development of several new statistical techniques to overcome challenges inherent in contexts where behaviors and specifically behavior-change are of great importance. The techniques...
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Statistical Monitoring of Ordinal Outcomes in Clinical Trials

Wednesday, November 13, 2019 - 11:00 at Hock Plaza 8th Floor #8065

Statistical monitoring of clinical trials refers to sequential analysis of accumulating data during the course of the trial for purposes of verifying pre-trial assumptions, stopping early for safety, efficacy, or futility, or even making adaptive design changes. Group sequential methods are well developed and commonly used for these purposes. The...
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