Module overview
Linked modules
Pre-requisite: STAT6095
Aims and Objectives
Learning Outcomes
Learning Outcomes
Having successfully completed this module you will be able to:
- Summarise data with an appropriate statistical model
- Check the models
- Use models to investigate the association structure between variables
- Interpret the results of modelling
- Use models to describe the relationship between a response and a set of explanatory variables, in particular for datasets arising in official statistics
- Knowledge and understanding of the general theory of generalised linear models
- Use the statistical software packages to fit statistical models and develop computing skills
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 |
---|---|
Teaching | 20 |
Independent Study | 80 |
Total study time | 100 |
Resources & Reading list
Textbooks
Agresti, A. (2007). An Introduction to Categorical Data Analysis. Wiley.
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.
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