Online Program

Epidemiology for non-epidemiology - day 2: The nuts and bolts of epidemiologic investigations II — threats to validity: Confounding, bias, interaction, causal relationships

Sunday, November 3, 2013 : 9:45 a.m. - 10:30 a.m.

Dr. Joy P. Nanda, DSc, MS, MHS, MBA, Johns Hopkins Medical Institutions (Ret), Johns Hopkins University (Ret), Baltimore, MD
During this session, participants will learn the concepts of confounding. bias, interaction when evaluating causal relationships in epidemiologic investigations

Learning Areas:

Biostatistics, economics
Program planning
Public health or related public policy
Public health or related research
Social and behavioral sciences

Learning Objectives:
Evaluate quality and strength epidemiological studies and Compare tools to evaluate the validity of epidemiological studies

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: As a trained community and behavioral epidemiologist, I have more than three decades of extensive research and teaching experience on methods, interpretation and application of epidemiological data and program evaluation. I have taught numerous introductory, intermediate and advanced epidemiology courses at numerous public and private institutions in the U.S. for undergraduate and graduate students as well as to members of public health community. I have also been the instructor for this LI since 2005.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.