|Starts:||12 Feb 2020|
|Ends:||12 Feb 2020|
|What is it:||Short course|
|Organiser:||Cathie Marsh Institute for Social Research|
/ Five subsidised £60 places available for Humanities staff and postgraduates|
|Who is it for:||University staff, External researchers, Alumni, Current University students|
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.
At the end of the course participants should be able to:
Understand the concepts of odds and odds ratios.
Generate odds for given contingency tables.
Understand the basic theory behind binary logistic regression.
Run and interpret a logistic regression model.
Interpret Log Likelihoods to evaluate models.
Choose between different models.
Offers: Five subsidised £60 places available for Humanities staff and postgraduates
Travel and Contact Information
Humanities Bridgeford Street