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. 

Register Here

Fall 2024

Topic 

Speaker

Summary

 9/18/24

Study Designs: Case-control, Cross-sectional, and Ecological Studies Mike Bancks, PhD, MPH
Associate Professor, Epidemiology and Prevention
This introductory-level session will provide an overview of the observational case-control, cross-sectional, and ecological study designs used in clinical and epidemiological research. Attendees will learn strengths and limitations of each design and potential application to their research interests.
 10/02/24 Introduction to the IRB process at Wake Forest University School of Medicine   Brian Moore, MS, CIP
Director of Research

Deborah Wesley-Farrington, RN, BSN, CCRC, CIM 
Associate Director, Human Research Protection Program,
Institutional Review Board
This session will provide an overview and introduction to the process for institutional review board submissions to the Wake Forest University School of Medicine including but not limited to discussion on developing the application and necessary documents, the review process, and any handy tips/resources. This session is meant to be interactive and offer opportunities for attendees to ask questions.
 10/16/24 Study Designs: Experimental Studies and Prospective Cohorts
Mike Bancks, PhD, MPH
Associate 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.
 11/06/24 Analysis of a Continuous Outcome
Mitchell Paukner, PhD
Assistant Professor, Department of Biostatistics and Data Science
This introductory-level session will present the basic statistical concepts and approaches for analyzing outcome data with continuous form.
 11/20/24 Study Designs: Using Real World Data in Research
Emilie Duchesneau, PhD
Assistant Professor, Epidemiology and Prevention
This session will introduce methods and concepts fundamental to designing studies that leverage real world data for research purposes.
 12/04/24 Study Designs: Overview On Quasi-Experimental Methods

Asma Mohamed Ahmed, PhD, MD
Assistant Professor, Epidemiology and Prevention

This session will provide an introduction and brief overview of quasi-experimental study designs, including interrupted time series, difference in difference, and regression discontinuity.