Module overview
Linked modules
Pre-requisite: STAT6095
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Check the models
- Interpret the results of modelling
- Knowledge and understanding of the general theory of generalised linear models
- Use models to describe the relationship between a response and a set of explanatory variables, in particular for datasets arising in official statistics
- Use the statistical software packages to fit statistical models and develop computing skills
- Use models to investigate the association structure between variables
- Summarise data with an appropriate statistical model
Syllabus
- Exponential family of distributions and properties (Normal, Binomial and Poisson)
- Review of models for normal response models
- Tables, measures of association and odds ratios
- Logistic regression
- Multinomial logistic regression
- Ordinal regression
- Poisson Regression and models for rates
- Introduction to random effects models
- Log linear models
- Goodness of fit Statistics, Likelihood Ratio Test
- Estimation
Learning and Teaching
Teaching and learning methods
Lectures with integrated computing workshops and tutorials.
Type | Hours |
---|---|
Independent Study | 80 |
Teaching | 20 |
Total study time | 100 |
Resources & Reading list
Textbooks
Fox, J. (2002). An R and S-PLUS Companion to Applied Regression. Sage Publications.
Agresti, A. (2002). Categorical Data Analysis. Wiley.
Dobson, A. J. (2001). An Introduction to Generalized Linear Models. Chapman & Hall.
Fox, J. (1997). Applied Regression Analysis, Linear Models, and Related Methods. Sage Publications.
Agresti, A. (2007). An Introduction to Categorical Data Analysis. Wiley.
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
Method | Percentage contribution |
---|---|
Coursework | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Method | Percentage contribution |
---|---|
Coursework | 100% |
Repeat Information
Repeat type: Internal & External