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GSLS Biostatistics Initiative


There is currently one Open Statistics Course on offer from the GSLS Biostatistics Institute:

Core Statistics

This course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment for researchers in the life sciences. The course covers:

  • Simple Hypothesis testing from t-tests through to linear models and model selction
  • Errors, Power Analyses and Multiple Comparisons

After the course you should feel confident in selecting and implementing common statistical techniques using R, and moreover know when, and when not, to apply these techniques.

Upcoming Courses

The GSLS Biostatistics Initiative is currently developing several additional biostatistics courses to meet a range of research needs. These courses will be advertised to the GSLS community as and when they are finalised.

The current list of courses under development are as follows:

  • Medical Statistics​​

    • Odds and Odds Ratios
    • Survival Analyses (Kaplan Meier / Cox Regression)
    • Longitudinal Studies
    • Meta-Analyses


  • Extending the Linear Model

    • Generalised Linear Models
    • Mixed Effects Models
    • Shrinkage Methods
    • Non-linear model fitting
    • Collinearity


  • Introduction to Bayesian Statistics​


  • Introduction to Machine Learning

    • ​Unsupervised Learning
      • Clustering
      • Principle Component Analysis
    • Supervised Learning
      • Support Vector Machines
      • Regression
      • Decision Trees and Random Forests
      • Neural Networks and Deep Learning

All of our courses are designed for you to develop practical and usable statistical analysis skills (rather than being a maths course in disguise). Practical examples and exercises are used throughout and the end goal is to help you feel comfortable choosing, carrying out, and understanding your statistical analyses.

If you follow the above links you will be taken to detailed course description pages where you will find find links to book a place, or register your interest for an event, through the University Training Booking System (UTBS).