Event Details
Event Title Logistic Regression (Online)
Location Online (ZOOM)
Sponsor H.W. Odum Institute
Date/Time 03/21/2022 - 03/23/2022 10:00 AM - 12:00 PM
Event Price
Cutoff Date 03/17/2022 Must register before this date
For more information, contact the event administrator: Jill Stevens jill_stevens@unc.edu
Event Presenters
Name Title  
Eugenia Conde PhD Statistical Consultant at The H. W. Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill.
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This course teaches students when and how to use logistic regression models. This type of regression is used to estimate the odds or probability that an event with two categories will occur, e.g., whether individuals with characteristics of interest are likely to develop an illness, pay a debt, pass a class, have a car accident, or benefit from treatment. At the end of the course, students will be able to fit models, estimate and interpret results in terms of probabilities, odds, and logit coefficients using Stata. To achieve this end, students will learn to perform diagnostic tests: multicollinearity, discrimination, residuals, influential observations. Moreover, the class will cover how to do the following:

·       Report standardized and unstandardized effects

·       Compare the effect of coefficients in the model

·       Interpret and graph interaction effects


Requirements: 1) Students must know how to model and interpret ordinary least square (OLS) regressions. 2)Know how to use the basic Stata functions, i.e., enter and save data, create variables, use command window, and do file.
UNC - Chapel Hill