Introduction to statistical modelling in R

This is a one day intensive course on modelling in R. The course will be a mixture of lectures and computer practicals.

Prior knowledge: it will be assumed that participents are familar with R. For example, inputing data, basic visualisation and data frames. Attending the introduction to R will be sufficient. This course is suitable to a wide range of applicants e.g., biologists, statisticians, engineers, students.

Course outline:

  • Basic hypothesis testing
  • Simple linear regression
  • Multiple linear regression
  • Logistic regression
  • Surivial models

Course Structure

This course will be structured as follows:

  • 08:30 - 09:00: Registration and coffee
  • 09:00 - 12:15: Lecture
  • 12:15 - 1:15: Lunch (not provided)
  • 1:15 - 4:30: Computer lab

There will also be regular coffee breaks throughout the day.

Comments from previous courses

  • The balance between lectures and practicals was good.
  • Great help during the practicals.
  • High quality lecture materials.

Presenter

Dr Colin Gillespie, Statistics Lecturer in the School of Mathematics & statistics.