The course will cover ANOVA, linear regression and some extensions. It will be a mixture of lectures and hands-on time using RStudio to analyse data.

• ANOVA
• Simple and multiple regression
• Generalised Linear Models
• Introduction to more advanced topics, like non-linear models and time series.

• Realise the connection between t-tests, ANOVA and linear regression
• Fit a linear regression
• Check if the assumptions of linear regression are met by the data and what to do if they are not
• Know when linear regression is not appropriate and have an idea of which alternative method might be appropriate
• Know when you need to seek help with analysis as the data structure is too complex for the methods taught

This course assumes basic knowledge of statistics and use of R, which would be obtained from our Introductory Statistics Course and an "Introduction to R for Solving Biological Problems" run at the Genetics department (or equivalent).

• Introduction to Solving Biological Problems with R
• Introduction to Statistical Analysis