Introduction to Logistical Regression
Date:
22/04/2024
Organised by:
University of Liverpool
Presenter:
Dr Girvan Burnside
Level:
Intermediate (some prior knowledge)
Contact:
Venue: Online
Description:
This course examines the application of models to predict a binary response variable from categorical and continuous predictor variables. Participants will also learn to apply these methods using SPSS software, as well as find out how to interpret their results.
What will delegates learn?
By the end of this course delegates will have an understanding of:
- Understand the concepts of analysing binary data
- Have an appreciation of interpreting the complexities of this data
- Learn the principles behind logistic regression
- Know how to carry out these procedures using SPSS.
What does the course cover?
- Exploratory data analysis and how to describe your data
- The concepts of analysing binary data and interpreting odds ratios
- Model selection and interpretation of a logistic regression model
- Checking model assumptions
- Interpretation and presentation of results
- How to develop a prognostic index.
Cost:
1-day Course Price: £100 for external applicants, £50 for UoL/LSTM Staff, £25 for UoL/LSTM Students.
Website and registration:
Region:
North West
Keywords:
Frameworks for Research and Research Designs, Data Collection, Qualitative Data Handling and Data Analysis, Research Skills, Communication and Dissemination (other), Logistical Regression
Related publications and presentations:
Frameworks for Research and Research Designs
Data Collection
Qualitative Data Handling and Data Analysis
Research Skills, Communication and Dissemination (other)