Biostatistics, Epidemiology, and Research Design (BERD) Lunch and Learn Series

The Biostatistics, Epidemiology, and Research Design (BERD) groups at Wake Forest, Duke, and UNC are working together to share educational and training resources. The seminars are designed to provide researchers and aspiring researchers with tools and resources related to each of the BERD disciplines. The following seminars are shared across all three institutions.

Sign-up and Webex information for each seminar is at the bottom of the page. *

Fall 2023

Topic 

Speaker

Summary

 9/06/23

Introduction to BERD biostatistical services Greg Russell, MS
Sr Biostatistician, Biostatistics and Data Science
This session will describe the biostatistical services offered by our BERD program.
 9/20/23 Discrete choice experiments and patient outcomes Chris Gillette, PhD
Associate Professor, PA Studies
This introductory-level session will provide a methodologic overview of the discrete choice experiment (DCE) methodology and study design types, what is involved in the design of a DCE, statistical assumptions, and more.
 10/4/23 Statistical Power: Understanding the inputs and how you come up with them
Walter Ambrosius, PhD
Professor, Biostatistics and Data Science
This session will cover approaches to estimate statistical power, sample size, and effect estimates to be considered in the study design phase.
 10/18/23 Implementation Science: Bringing your innovation to scale in the real world.
Jaime Hughes, PhD
Assistant Professor, Implementation Science
Session will provide an overview of methods used in implementation science and dissemination of research into clinical care and healthcare systems.
 11/01/23 Study designs: experimental studies and prospective cohorts
Mike Bancks, PhD, MPH
Assistant Professor, Epidemiology and Prevention
This session provides an overview of the experimental and observational prospective cohort study designs and describes fundamental concepts of each and distinguishing methods.
 11/15/23 Analysis of a discrete outcome

Nathaniel O'Connell, PhD

Assistant Professor, Biostatistics and Data Science
This introductory-level session will present the basic statistical concepts and approaches for analyzing outcome data with discrete or categorical form.
 12/06/23 Interaction and effect modification: what are they and how are they different Mike Bancks, PhD, MPH
Assistant Professor, Epidemiology and Prevention
This advanced-level session will introduce, describe, and distinguish causal interaction and effect measure modification.