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.

A MOST Interesting Framework: The Multiphase Optimization Strategy and Factorial Designs

Berd Core Seminar
Friday, December 6, 2019 - 01:30 at 11025 Hock Plaza

Abstract: The multiphase optimization strategy (MOST) is an increasingly popular framework to prepare, optimize, and evaluate multicomponent behavioral health interventions. Within this framework, it is common to use a factorial randomized trial to assemble an optimized multicomponent intervention by simultaneously testing several intervention components, after which a standard two-arm randomized...
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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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BCTIP Presentations

Friday, November 15, 2019 - 02:00 at Hock Plaza 11025

Masters students Siqi Zhang, Chun (Anna) Xu and Sangyun (Tyler) Chung will present. Siqi Zhang Building a Prediction Model Using Data 2:00 - 2:15pm Chun (Anna) Xu Preliminary Radiomic Feature Analysis for Neoadjuvant Treatment Effect in Pancreatic Adenocarcinoma 2:20 - 2:35pm Sangyun (Tyler) Chung Implementing Minimization for Patient Allocation...
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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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ScCloud: cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq

Bo Li, PhD
Friday, November 8, 2019 - 01:00 at MSRB III 1125

Massively parallel single cell RNA-Seq has opened the way to systematic tissue atlases in health and disease, but as the scale of data generation is growing, so does the need for computational pipelines for scaled analysis. Here, we developed scCloud, a cloud-based framework for analyz-ing large scale single-cell and single-nucleus...
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