Location:
Online via Zoom Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
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.
Cost
Early Bird PSI Members = £320+VAT PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
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
Speaker details
Speaker
Biography
Andy Grieve
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
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.
Scientific Meetings
PSI Training Course: Introduction to Bayesian Methods
Location:
Online via Zoom Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
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.
Cost
Early Bird PSI Members = £320+VAT PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
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
Speaker details
Speaker
Biography
Andy Grieve
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
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.
Training Courses
PSI Training Course: Introduction to Bayesian Methods
Location:
Online via Zoom Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
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.
Cost
Early Bird PSI Members = £320+VAT PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
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
Speaker details
Speaker
Biography
Andy Grieve
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
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.
Journal Club
PSI Training Course: Introduction to Bayesian Methods
Location:
Online via Zoom Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
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.
Cost
Early Bird PSI Members = £320+VAT PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
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
Speaker details
Speaker
Biography
Andy Grieve
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
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.
Webinars
PSI Training Course: Introduction to Bayesian Methods
Location:
Online via Zoom Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
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.
Cost
Early Bird PSI Members = £320+VAT PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
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
Speaker details
Speaker
Biography
Andy Grieve
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
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.
Careers Meetings
PSI Training Course: Introduction to Bayesian Methods
Location:
Online via Zoom Speakers: Andy Grieve (Statistical Consultant), Gemma Hodgson (Qi Statistics Ltd.)
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.
Cost
Early Bird PSI Members = £320+VAT PSI Members = £360+VAT
Early Bird Non-Members = £430+VAT Non-Members = £470+VAT
*Please note: Non-Member rates include PSI membership until 31 Dec. 2025.
Registration for this event has now closed. If you would like to attend this event in the future, please contact admin@psiweb.org so we can get in touch with you directly when registration opens.
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
Speaker details
Speaker
Biography
Andy Grieve
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
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.
Upcoming Events
PSI Book Club - The Art of Explanation: How to Communicate with Clarity and Confidence
Develop your non-technical skills by reading The Art of Explanation by Ros Atkins and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply skills from the book in-between sessions.
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
Topic: R Package Basics.
Our monthly webinar series allows attendees to gain practical knowledge and skills in open-source coding and tools, with a focus on applications in the pharmaceutical industry. This month’s session, “R Package Basics,” will introduce the fundamentals of working with R packages—covering how to install, load, and manage them effectively to support data analysis and reproducible research. The session will provide a solid starting point, clarify common misconceptions, and offer valuable resources for continued learning.
Pre-Clinical SIG Webinar: Modern Algorithms for Animal Randomization in Preclinical Studies
A 1 hour online event, that includes a presentation followed by Q&A.
This webinar will first define terminology in causal inference/data fusion and illustrate their use with two case studies.
Date: 19 November 2025
This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
PSI Book Club Lunch and Learn: Communicating with Clarity and Confidence
If you have read Ros Atkins’ book The Art of Explanation or want to listen to the BBC’s ‘Communicator in Chief’, you are invited to join the PSI Book Club Lunch and Learn, to discuss the content and application with the author, Ros Atkins. Having written the book within the context of the news industry, Ros is keen to hear how we have applied the ideas as statisticians within drug development and clinical trials. There will be dedicated time during the webinar to ASK THE AUTHOR any questions – don’t miss out on this exclusive PSI Book Club event!
Haven’t read the book yet? Pick up a copy today and join us.
Explanation - identifying and communicating what we want to say - is described as an art, in the title of his book. However, the creativity comes from Ros’ discernment in identifying and describing a clear step-by-step process to follow and practice. Readers can learn Ros’ rules, developed and polished throughout his career as a journalist, to help communicate complex written or spoken information clearly.