Overview

This interactive and hands on online course, aimed at beginner Bayesians who have little or no experience in Bayesian statistics, is split into 3 modules. Module 1 introduces Bayesian concepts and looks at how Bayes has been used recently in the Pharmaceutical Industry, and participants will undertake their own data collection exercise in order to analyse a simple Bayesian trial. Module 2 takes a look at the concepts of Bayesian statistics and key terminology and provides a chance to analyse some data using a simple Bayesian approach. Module 3 takes a further look at the use of Bayesian statistics in drug development and regulatory requirements and digs deeper into analysis issues. Workshops will be provided to do as homework between the sessions. Participants can use R or SAS and a worked solution in the appropriate language will be provided.

By the end of the course, participants should be able to:

  • Understand Bayes theorem and the basic maths behind the Bayesian approach
  • Understand the concepts and benefits of Bayesian approach
  • Be confident in explaining to a project team why a Bayeisan approach may be appropriate
  • Know how to setup a basic Bayesian analysis in SAS or R
  • Understand the necessary model checking and caveats when using Bayesian Methods
  • Be aware of case studies in drug development that use Bayesian Methods
  • Know where to go for further help setting up and running a Bayesian study

Who is this event intended for? This online course is aimed at beginner Bayesians who have little or no experience in Bayesian statistics.

What is the benefit of attending? After attending participants should be able to understand the background, concepts, benefits and risks of using it using examples form the pharmaceutical industry and evaluate for their projects whether using Bayesian methods would be appropriate, as well as understanding the basic steps needed to take in designing a Bayesian study.


Dates & Times

Module 1 - Wednesday 20th November: 09:00-12:30 BST

Module 2 - Tuesday 26th November: 09:00-12:30 BST

Module 3 - Thursday 28th November: 09:00-12:30 BST


Location

Online via Zoom

Speakers

Sponsors and Partners

Community

Discover and connect with other attendees.

HSTOMKKK
Register & Join the Community