Advanced Statistical Modelling I: Generalised Linear Models

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Check the models
• Use the statistical software packages to fit statistical models and develop computing skills
• Summarise data with an appropriate statistical model
• 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
• Interpret the results of modelling
• Use models to investigate the association structure between variables

• 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

Lectures with integrated computing workshops and tutorials.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.