Course presenter(s): Maria Pampaka

Short description: This course examines the fitting of models to predict a binary response variable from a mixture of binary and interval explanatory variables, using STATA software.
The approach is illustrated using examples from a social science perspective, including cases where logistic regression models are used as a means of analysing tabular data where one of the dimensions of the table is a two-category outcome variable.
You will also learn how to fit a logistic regression model, and how to interpret the results.

Weblink: https://www.cmi.manchester.ac.uk/study/short/introductory/logistic-regression/