Online Program

Multivariable regression methods

Sunday, November 3, 2013 : 2:30 p.m. - 4:00 p.m.

Michael A. Joseph, PhD, MPH, Department of Epidemiology and Biostatistics, School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
Using practical exercises that foster hands-on experience involving SPSS, students will learn how to control for potential confounding factors through multiple linear regression analysis and multiple logistic regression analysis.

Learning Areas:

Biostatistics, economics

Learning Objectives:
Define what a confounder is. Discuss the importance of controlling for potential confounders in the analysis phase of research. Explain and interpret partial regression coefficients in linear and logistic regression analyses.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: For the past decade I have taught classes in biostatistics, computing and epidemiologic research methods to diverse audiences with varying levels of knowledge, skill and expertise.
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.