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
Andy Grieve
Statistical Consultant
Andrew P. Grieve is a Visiting Professor at King’s College London and a Statistical Consultant with Weatherden Ltd having recently retired from the position of Research Fellow in the Statistical Innovation group at UCB Pharma. He is a former Chair of PSI (Statisticians in the Pharmaceutical Industry) and a past-President of the Royal Statistical Society. He has over 45 years of experience as a biostatistician working in the pharmaceutical industry and academia. He has been active in the majority of areas of pharmaceutical R&D in which statistical methods and statisticians are intimately involved including drug discovery, pre-clinical toxicology, pharmaceutical development, pharmacokinetics and pharmacodynamics, phase I-IV of clinical development, manufacturing, health economics and clinical operations. Since the early 1980s he has promoted the use of Bayesian methods in pharmaceutical R&D and his statistical research has been primarily concerned with the implementation of Bayesian ideas and techniques. Latterly he has concentrated on the design and implementation of Bayesian adaptive trials, and the Probability of Success (PoS) of studies and drug development programs. He has published over 140 articles and is the author of two. He has been an invited speaker at national and international conferences on over 300 occasions.
Gemma
Hodgson
Director, Consultant Statistician & Trainer of Qi Statistics Ltd.
Gemma Hodgson is a Chartered Statistician and has worked with clients applying statistics in several industries. Gemma’s career began with work as a Medical Statistician in the Pharmaceutical industry for over 20 years, working for large multinational pharmaceutical companies, from ph I through to ph IV. Since 2012 Gemma has worked for and now owns Qi Statistics Ltd. which offers statistical training and consultancy services for all industries, including R&D, manufacturing, food & consumer goods and general business.
Gemma has considerable experience in rolling out statistical training programmes to both statisticians and non-statisticians in a variety of industries where in modern global companies it is becoming increasingly important for non-statisticians to understand the value and applications of statistics in order to maximise the value of their data.
Gemma has a broad interest in the application of statistics and is an experienced trainer to all types of audience, specialising in translating technical concepts into everyday English.
