Introduction to Bayesian Statistics

  • Dates: 25 – 26 Jun, 2019
  • How to find us: UCB Pharma, Slough, UK

Presented by: Ros Walley, Foteini Strimenopoulou & Phyllis Smetana

At the end of the course attendees will:
  • Understand the motivation for Bayesian designs and the meaning of the Bayesian terminology including the differences between the frequentist and Bayesian methods 
  • Learn the basics of constructing a prior distribution
    Know the impact of priors on the results and how to summarise the posterior distribution
  • Understand how Bayes methods can be used to improve decision making.
  • Know some of the practical aspects (including software choices) of Bayesian design implementation.
The course will focus on the practical implementation of the background and practicalities of Bayesian design, analysis and reporting and will not go into deep statistical methodology or software coding. Examples and practical exercises are used throughout to aid understanding and interaction. References will be to give the attendee links to the statistical formulae and other reading.

Although not essential, it would be useful for attendees to bring a laptop with either SAS or R installed, so that they can join in with the practical workshops rather than just watch.

The following topics will be covered:

• Informative vs Vague Priors
• Construction of Priors
• Documentation of Priors
• Posteriors
• Credible Intervals
• Prior-data conflict
• Decision rules
• Simulation and MCMC
• Checks for convergence
• Types of software to run Bayesian analyses
Course runs from: 10:00 – 17:30 (registration from 9:30) on Day 1 and 
                                 09:00 – 16:45 on Day 2.
Click here to download the flyer.


  Early Bird (Up To & Including 24th May)   After 24th May
PSI Member  £495 + VAT £595 + VAT
Non-Member £590 + VAT (This includes PSI membership for 2019) £690 +  VAT (This includes PSI membership for 2019)
Click here to register.
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