Logistic Regression (In-Person)
March 23 @ 10:00 am - 12:00 pm
An event every 2 days that begins at 10:00 am, repeating until March 23, 2022
This two-day (3/21 and 3/23) course will be offered IN-PERSON only.
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
- Students must know how to model and interpret ordinary least square (OLS) regressions
- Know how to use the basic Stata functions, i.e., enter and save data, create variables, use command window, and do file.
Instructor: Eugenia Conde
Dr. Conde is a Statistical Consultant at The H. W. Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. She provides consultations to students and faculty on research methods and statistics. Her Ph.D. is in sociology with a concentration in demography and medical sociology. In addition, she holds an MSPH in epidemiology. Before working at the Odum Institute, she worked at Rutgers University and at Duke University as a statistical consultant for graduate students and as a statistician for researchers from different disciplines, including political science, economics, psychology, sociology, and public health.
She is co-authoring a statistics book with Dr. Dudley L. Poston and Dr. Layton Field, Applied Regression Models in the Social Sciences (Forthcoming, Cambridge University Press). Her research interests include social inequalities, research methods, and statistics with a focus on missing data and methodologies to study people of color.
- $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
Additional course information:
- Registration will open 1/24/2022 and close at 12:01am 3/18/2022. No late registrations will be accepted.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
For questions regarding the status of this class, please contact Jill Stevens at email@example.com