Skip to main content
Loading Events
February 11

Quantitative Bias Analysis: The Good, the Bad, and the Ugly

Location
Virtual

Time

1:00 pm 1:50 pm

Event Type

From Around the School, Lectures/Seminars/Forums

Join us on Wednesday, February 11th for a Department of Epidemiology seminar featuring Dr. Timothy Lash discussing Quantitative Bias Analysis: The Good, the Bad, and the Ugly. 

Abstract: Quantitative bias analysis encompasses all methods used to estimate the direction, magnitude, and uncertainty from non-randomized research. Many of these methods have been well known for decades, but are still not routinely implemented. This talk will review the methods, their utility, where there are shortcomings, and how they are sometimes used (intentionally or unintentionally) against their best purposes. 

Bio: Timothy L. Lash is the O. Wayne Rollins Distinguished Professor of Epidemiology and Chair of the Department of Epidemiology at Emory University’s Rollins School of Public Health, and Associate Director of Population Science at Emory’s Winship Cancer Institute. His research focuses on predictive and prognostic markers of breast, prostate, and colorectal cancer recurrence. His longstanding collaborations in Denmark have involved multiple projects to study molecular markers of recurrence and to study whether concomitant use of prescription drugs affect recurrence risk. He is currently funded by the US NCI to begin adding recurrence data to the Georgia Cancer Registry. Dr. Lash’s methodological interest focuses on developing and implementing methods to quantify the influence of systematic errors on epidemiologic research. Funding from the National Library of Medicine supports his work to develop methods that quantify the influence of systematic errors on the reproducibility of epidemiologic study results. He teaches a course on quantitative bias analysis and leads the doctoral students’ journal club. He is Editor-in-Chief of EPIDEMIOLOGY, a leading general interest epidemiology journal, and coauthor of multiple editions of two epidemiology textbooks: Applying Quantitative Bias Analysis to Epidemiologic Research, 2nd edition and Modern Epidemiology, 4th edition. 

Speaker Information

ⓘ Harvard Chan School hosts a diverse array of speakers, invited to share both scholarly research and personal perspectives. They do not speak for the School, and hosting them does not imply endorsement of their views, organizations, or employers.