Venue: Crowne Plaza London - Heathrow, UB7 9NA, UK
This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
The course will begin with an introduction into Bayesian general principles including prior distribution, likelihood, posterior distribution, predictive distribution and Bayesian vs frequentist inference
The course will then progress into learning how to implement Bayesian analyses in R: Stan and SAS: PROC MCMC
Examples of using Bayesian analyses in clinical trials will be discussed
This course will have a hands-on approach so participants must bring a laptop with R (latest version if possible), R studio and SAS installed (if available). The R Stan package should also be installed.
About the presenters:
Marco Munda holds a bachelor of mathematics, a master of statistics, and a PhD in statistics. Marco has been working at Pharmalex Belgium as a consultant in statistics for the pharmaceutical industry for the last 5 years.
Maud Hennion holds a master’s degree in mathematics and a master’s degree in Biostatistics (Université Catholique de Louvain).
Maud has been working at Pharmalex as a bio-statistician for the last 4 years. She has been mainly involved in pre-clinical and clinical studies (development of methodology of analysis, study simulation, study design, SAP and protocol writing, PK/PD analysis).
Registration: 09:30 - 10:00 Tuesday 18th February 2020 Course runs: 10:00 – 17:30 09:00 – 16:45 Wednesday 19th February 2020
Registration costs (includes lunch and refreshments)
EARLY BIRD - on or before 17th January 2020
PSI Members - £495 plus VAT
Non-Members - £590 plus VAT (includes PSI membership for 1 year)
REGULAR - after 17th January 2020
PSI Member: £595 plus VAT
Non-Members - £690 plus VAT (includes PSI membership for 1 year)
Registration costs includes lunch and refreshments and PSI Membership for one year.
We have reserved a limited number of rooms at The Crowne Plaza, Heathrow which are available to attendees at the group rate of £109 per person. Please indicate if you would like us to reserve Bed & Breakfast when you register for the course.
Venue: Crowne Plaza London - Heathrow, UB7 9NA, UK
This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
The course will begin with an introduction into Bayesian general principles including prior distribution, likelihood, posterior distribution, predictive distribution and Bayesian vs frequentist inference
The course will then progress into learning how to implement Bayesian analyses in R: Stan and SAS: PROC MCMC
Examples of using Bayesian analyses in clinical trials will be discussed
This course will have a hands-on approach so participants must bring a laptop with R (latest version if possible), R studio and SAS installed (if available). The R Stan package should also be installed.
About the presenters:
Marco Munda holds a bachelor of mathematics, a master of statistics, and a PhD in statistics. Marco has been working at Pharmalex Belgium as a consultant in statistics for the pharmaceutical industry for the last 5 years.
Maud Hennion holds a master’s degree in mathematics and a master’s degree in Biostatistics (Université Catholique de Louvain).
Maud has been working at Pharmalex as a bio-statistician for the last 4 years. She has been mainly involved in pre-clinical and clinical studies (development of methodology of analysis, study simulation, study design, SAP and protocol writing, PK/PD analysis).
Registration: 09:30 - 10:00 Tuesday 18th February 2020 Course runs: 10:00 – 17:30 09:00 – 16:45 Wednesday 19th February 2020
Registration costs (includes lunch and refreshments)
EARLY BIRD - on or before 17th January 2020
PSI Members - £495 plus VAT
Non-Members - £590 plus VAT (includes PSI membership for 1 year)
REGULAR - after 17th January 2020
PSI Member: £595 plus VAT
Non-Members - £690 plus VAT (includes PSI membership for 1 year)
Registration costs includes lunch and refreshments and PSI Membership for one year.
We have reserved a limited number of rooms at The Crowne Plaza, Heathrow which are available to attendees at the group rate of £109 per person. Please indicate if you would like us to reserve Bed & Breakfast when you register for the course.
Venue: Crowne Plaza London - Heathrow, UB7 9NA, UK
This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
The course will begin with an introduction into Bayesian general principles including prior distribution, likelihood, posterior distribution, predictive distribution and Bayesian vs frequentist inference
The course will then progress into learning how to implement Bayesian analyses in R: Stan and SAS: PROC MCMC
Examples of using Bayesian analyses in clinical trials will be discussed
This course will have a hands-on approach so participants must bring a laptop with R (latest version if possible), R studio and SAS installed (if available). The R Stan package should also be installed.
About the presenters:
Marco Munda holds a bachelor of mathematics, a master of statistics, and a PhD in statistics. Marco has been working at Pharmalex Belgium as a consultant in statistics for the pharmaceutical industry for the last 5 years.
Maud Hennion holds a master’s degree in mathematics and a master’s degree in Biostatistics (Université Catholique de Louvain).
Maud has been working at Pharmalex as a bio-statistician for the last 4 years. She has been mainly involved in pre-clinical and clinical studies (development of methodology of analysis, study simulation, study design, SAP and protocol writing, PK/PD analysis).
Registration: 09:30 - 10:00 Tuesday 18th February 2020 Course runs: 10:00 – 17:30 09:00 – 16:45 Wednesday 19th February 2020
Registration costs (includes lunch and refreshments)
EARLY BIRD - on or before 17th January 2020
PSI Members - £495 plus VAT
Non-Members - £590 plus VAT (includes PSI membership for 1 year)
REGULAR - after 17th January 2020
PSI Member: £595 plus VAT
Non-Members - £690 plus VAT (includes PSI membership for 1 year)
Registration costs includes lunch and refreshments and PSI Membership for one year.
We have reserved a limited number of rooms at The Crowne Plaza, Heathrow which are available to attendees at the group rate of £109 per person. Please indicate if you would like us to reserve Bed & Breakfast when you register for the course.
Venue: Crowne Plaza London - Heathrow, UB7 9NA, UK
This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
The course will begin with an introduction into Bayesian general principles including prior distribution, likelihood, posterior distribution, predictive distribution and Bayesian vs frequentist inference
The course will then progress into learning how to implement Bayesian analyses in R: Stan and SAS: PROC MCMC
Examples of using Bayesian analyses in clinical trials will be discussed
This course will have a hands-on approach so participants must bring a laptop with R (latest version if possible), R studio and SAS installed (if available). The R Stan package should also be installed.
About the presenters:
Marco Munda holds a bachelor of mathematics, a master of statistics, and a PhD in statistics. Marco has been working at Pharmalex Belgium as a consultant in statistics for the pharmaceutical industry for the last 5 years.
Maud Hennion holds a master’s degree in mathematics and a master’s degree in Biostatistics (Université Catholique de Louvain).
Maud has been working at Pharmalex as a bio-statistician for the last 4 years. She has been mainly involved in pre-clinical and clinical studies (development of methodology of analysis, study simulation, study design, SAP and protocol writing, PK/PD analysis).
Registration: 09:30 - 10:00 Tuesday 18th February 2020 Course runs: 10:00 – 17:30 09:00 – 16:45 Wednesday 19th February 2020
Registration costs (includes lunch and refreshments)
EARLY BIRD - on or before 17th January 2020
PSI Members - £495 plus VAT
Non-Members - £590 plus VAT (includes PSI membership for 1 year)
REGULAR - after 17th January 2020
PSI Member: £595 plus VAT
Non-Members - £690 plus VAT (includes PSI membership for 1 year)
Registration costs includes lunch and refreshments and PSI Membership for one year.
We have reserved a limited number of rooms at The Crowne Plaza, Heathrow which are available to attendees at the group rate of £109 per person. Please indicate if you would like us to reserve Bed & Breakfast when you register for the course.
Venue: Crowne Plaza London - Heathrow, UB7 9NA, UK
This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
The course will begin with an introduction into Bayesian general principles including prior distribution, likelihood, posterior distribution, predictive distribution and Bayesian vs frequentist inference
The course will then progress into learning how to implement Bayesian analyses in R: Stan and SAS: PROC MCMC
Examples of using Bayesian analyses in clinical trials will be discussed
This course will have a hands-on approach so participants must bring a laptop with R (latest version if possible), R studio and SAS installed (if available). The R Stan package should also be installed.
About the presenters:
Marco Munda holds a bachelor of mathematics, a master of statistics, and a PhD in statistics. Marco has been working at Pharmalex Belgium as a consultant in statistics for the pharmaceutical industry for the last 5 years.
Maud Hennion holds a master’s degree in mathematics and a master’s degree in Biostatistics (Université Catholique de Louvain).
Maud has been working at Pharmalex as a bio-statistician for the last 4 years. She has been mainly involved in pre-clinical and clinical studies (development of methodology of analysis, study simulation, study design, SAP and protocol writing, PK/PD analysis).
Registration: 09:30 - 10:00 Tuesday 18th February 2020 Course runs: 10:00 – 17:30 09:00 – 16:45 Wednesday 19th February 2020
Registration costs (includes lunch and refreshments)
EARLY BIRD - on or before 17th January 2020
PSI Members - £495 plus VAT
Non-Members - £590 plus VAT (includes PSI membership for 1 year)
REGULAR - after 17th January 2020
PSI Member: £595 plus VAT
Non-Members - £690 plus VAT (includes PSI membership for 1 year)
Registration costs includes lunch and refreshments and PSI Membership for one year.
We have reserved a limited number of rooms at The Crowne Plaza, Heathrow which are available to attendees at the group rate of £109 per person. Please indicate if you would like us to reserve Bed & Breakfast when you register for the course.
Venue: Crowne Plaza London - Heathrow, UB7 9NA, UK
This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
The course will begin with an introduction into Bayesian general principles including prior distribution, likelihood, posterior distribution, predictive distribution and Bayesian vs frequentist inference
The course will then progress into learning how to implement Bayesian analyses in R: Stan and SAS: PROC MCMC
Examples of using Bayesian analyses in clinical trials will be discussed
This course will have a hands-on approach so participants must bring a laptop with R (latest version if possible), R studio and SAS installed (if available). The R Stan package should also be installed.
About the presenters:
Marco Munda holds a bachelor of mathematics, a master of statistics, and a PhD in statistics. Marco has been working at Pharmalex Belgium as a consultant in statistics for the pharmaceutical industry for the last 5 years.
Maud Hennion holds a master’s degree in mathematics and a master’s degree in Biostatistics (Université Catholique de Louvain).
Maud has been working at Pharmalex as a bio-statistician for the last 4 years. She has been mainly involved in pre-clinical and clinical studies (development of methodology of analysis, study simulation, study design, SAP and protocol writing, PK/PD analysis).
Registration: 09:30 - 10:00 Tuesday 18th February 2020 Course runs: 10:00 – 17:30 09:00 – 16:45 Wednesday 19th February 2020
Registration costs (includes lunch and refreshments)
EARLY BIRD - on or before 17th January 2020
PSI Members - £495 plus VAT
Non-Members - £590 plus VAT (includes PSI membership for 1 year)
REGULAR - after 17th January 2020
PSI Member: £595 plus VAT
Non-Members - £690 plus VAT (includes PSI membership for 1 year)
Registration costs includes lunch and refreshments and PSI Membership for one year.
We have reserved a limited number of rooms at The Crowne Plaza, Heathrow which are available to attendees at the group rate of £109 per person. Please indicate if you would like us to reserve Bed & Breakfast when you register for the course.
If you have any questions, please email psi@mci-group.com or call 01730 715235
Upcoming Events
PSI Introduction to Industry Training (ITIT) Course - 2026/2027
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
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.
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, “Graphics Basics,” will introduce the fundamentals of producing graphics using the ggplot2 package.
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: The AI Con – Joint with ASA Book Club
The Guardian described the authors of this book as refreshingly sarcastic! What is sold to us as AI, they announce, is just "a bill of goods": "A few major well-placed players are poised to accumulate significant wealth by extracting value from other people's creative work, personal data, or labour, and replacing quality services with artificial facsimiles."
Causal Inference SIG and EFSPI Methods Leaders: Modern Covariate Adjustment in Clinical Trials
This webinar will discuss modern approaches to covariate adjustment in clinical trials. We begin with the motivation and key principles underlying the FDA guidance, then revisit established methodologies in light of these regulatory considerations. Building on this foundation, we explore extensions to more advanced applications in clinical trial analysis. The webinar concludes with an outlook on future developments and a panel discussion.
PSI Book Club: Another Door Opens – Book Club Special Event
This is a Book Club Special Event in response to the changes in our industry and as a supportive move to create community and connection for those navigating redundancy and uncertainty. Read the book in advance of the book club session then join the zoom call to discuss ideas. There will be breakout groups to connect with others, exchange experiences of how the book has helped, and offer support.
PSI Book Club: Change: How organisations achieve hard-to-image results in uncertain and volatile times
Organizations have to adapt to the transforming landscape of our industry to ensure they continue to be successful in the future. Many of us are feeling the impact of organizational change. By reading John P Kotter’s book we can understand about organizational change and learn how to thrive, rather than just survive, through change.
Change, by John P Kotter (and his team), is a summary of all that he has learned over his decades of research and leading change. His book describes why many current approaches to change are inadequate and explains why new solutions need to give people a voice and a role in a new, change-embracing organization.
Develop your understanding of organisational change and become empowered to be part of your organisation’s change, by reading Change by John P Kotter and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply knowledge from the book in-between sessions.
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 Training Course: Propensity Scores: Practical Application in Non-randomised Studies
The course will introduce the topic of propensity scores and the use of external data. Covering the topics of matching and weighting as well as more advance topics of high dimension propensity scores, multi-valued treatments, double robustness and time-varying scenarios. There will be the opportunity to participate in some hands on practical exercises in R.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
A Lead Statistician builds and leads teams of statisticians and representatives from other functions and ensures the use of appropriate and efficient statistical analysis methods during development of Bayer products
Leeds Clinical Trials Research Unit - Undergraduate Internships
The Internship is open to undergraduate students in the penultimate year of their undergraduate degree at a UK university, in a mathematical, statistical, or quantitative related field.
As a Senior Statistician, you will provide high-quality statistical support to one of our key-FSP clients. At Senior level you may also take on a supervisory role (e.g. line management and/or project management), depending on your experience and interest.