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.

Introduction to Meta-Analysis

Berd Core Seminars
Friday, August 14, 2020 - 01:30 at Zoom

Abstract: A meta-analysis is a statistical analysis that combines data from individual research studies to come to new conclusions. This seminar will provide an introduction to basic statistical methods in meta-analysis. The talk will cover the two computational models used in the vast majority of meta-analyses, the fixed-effect model and...

Don’t skew it up: on the statistical efficiency of continuous composite outcomes when one component is skewed.

Berd Core Logo
Friday, May 8, 2020 - 01:30 at Zoom Conference

Abstract: Under the right conditions, statistical efficiency can be gained in clinical trials by using composite outcomes. Little work has been done in the literature to examine the properties of continuous composite outcomes (i.e. composites where each individual component is a continuous variable). We have previously examined the statistical properties...

Latent Variable Modeling for Biomedical Applications.

BERD Core Seminars
Friday, February 14, 2020 - 01:30 at Hock Plaza 11025

Abstract: Latent variable models (LVMs) are ubiquitous in social and medical sciences. They provide key platforms for incorporating informative but unobservable variables into modeling frameworks. In this seminar, will explain the general concept of LVMs, when it is appropriate to use LVMs, how to use path diagrams to help construct...

GIS and Spatial Tools for Disease Mapping

BERD Core Seminars
Wednesday, January 15, 2020 - 01:00 at Hock Plaza 11110

Abstract: Geographic information systems (GIS) are computing environments that allow researchers to combine and analyze different data sources that share geography. This is essential to understanding environmental and demographic factors that contribute to disease risk and public health, as well as the spatial distribution of disease. This seminar will review...

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...

Pages