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.

Overview of Missing Data

Friday, August 24, 2018 - 01:30 at Hock Plaza 11110

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

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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Workshop: Dynamic Treatment Regimes and SMART Designs

Tuesday, July 17, 2018 - 10:00 at Hock Plaza 11110 Classroom

Effective treatment of chronic diseases and disorders typically requires ongoing interventions where clinicians sequentially make therapeutic decisions, adapting the type, dosage and timing of treatment according to evolving patient characteristics. The framework of dynamic treatment regimes (DTRs) formalizes this sequential decision-making process prevalent in clinical practice. Constructing data-driven DTRs from...
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Supporting the Precision Medicine Ecosystem

Manuel J. Gynias
Thursday, May 10, 2018 - 10:00 at 8065 Hock Plaza

Integrating Discrete Molecular Data in EHRs Using Current HL7 Messages The rate of molecular discovery and increased treatment options for cancer patients continues at a breakneck pace. As a result, there is an increase in expectation that health care providers can deliver precision therapies to treat the patient. However, it...
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