Logistic Regression
| Dates: | 12 February 2020 |
|---|
| Times: | All day |
|---|
| What is it: | Short course |
|---|
| Organiser: | Cathie Marsh Institute for Social Research |
|---|
| How much: | £195
/ £140
/ Five subsidised £60 places available for Humanities staff and postgraduates |
|---|
| Who is it for: | University staff, External researchers, Alumni, Current University students |
|---|
| Speaker: | Maria Pampaka |
|---|
|
Outline
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.
Objectives
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.
Price: £195
Concessions: £140
Offers: Five subsidised £60 places available for Humanities staff and postgraduates
Travel and Contact Information
Find event
Basement Lab
Humanities Bridgeford Street
Manchester
