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.

Deciphering the regulatory information encoded in our genomes

Raluca Gordan, PhD
Friday, September 21, 2018 - 11:00 at MSRB III 1st Floor Room 1125

Abstract: Research in the Gordan lab is aimed at understanding how human cells achieve tight regulatory control of gene expression, and how this regulation is disrupted in disease. We focus on specialized proteins called transcription factors, which bind to the genome to promote or inhibit the transcription of target genes...
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BCTIP Presentations

Biostat Core Seiminars logo
Friday, September 21, 2018 - 01:30 at Hock Plaza 11025

Masters Students Yue (Lync) Liang, Zhecheng (Jeff) Sheng, Meilin Jiang and Congwent Zhao will present. Meilin Jiang - Data Visualization for Intensive Mobile Health Data - 2:30pm Yue (Lync) Liang - Recurrent Neural Network for longitudinal Electronic Health Records Data - 1:30pm Zhecheng (Jeff) Sheng - Analyzing the association of...
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Overview of Missing Data

Biostat Core Seminars Image
Friday, August 24, 2018 - 01:30 at Hock Plaza 8065

National databases provide rich sources to identify relevant predictors for diseases and clinical outcomes. These databases, however, often lack strict guidelines on reporting of patient demographics and outcomes, leading to missing data. In this presentation, we will discuss the implications when data are missing completely at random (MCAR), at random...
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Building a machine learning health system

Photo of Dr. Nigam H. Shah
Wednesday, August 15, 2018 - 11:00 at Hock Plaza - 2nd floor CRTP Classroom

Abstract: Using Electronic Health Records (EHRs) is is possible to examine the outcomes of decisions made by doctors during routine care and generate evidence from the collective experience of patients. We will discuss our efforts at Stanford Medicine for transforming unstructured EHR data to discover hidden trends, build predictive models...
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The SEMinal SEM SEMinar: An introduction to structural equation models

Friday, July 27, 2018 - 01:30 at Hock Plaza 11025

Structural equation modeling (SEM) is a flexible statistical modeling framework, which can be viewed as a generalization of many traditional procedures such as factor analysis and regression. We present the basic elements of an SEM, motivating it as an extension to the standard regression framework, and discuss the benefits and...
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