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 - 2025/2026
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.
This is an interactive online training workshop providing an in-depth review of the estimand framework as laid out by ICH E9(R1) addendum with inputs from estimand experts, case studies, quizzes and opportunity for discussions. You will develop an estimand in a therapeutic area of interest to your company. In an online break-out room, you will join a series of team discussions to implement the estimand framework in a case study, aligning estimands, design, conduct, analysis, (assumptions + sensitivity analyses) to the clinical objective and therapeutic setting.
Dissolution Testing: Time for Statistical (r)Evolution
Webinar dedicated to the topic of dissolution of oral solid dosage forms; opportunity to hear from statisticians working in the CMC field, with open question and answers.
In addition, the CMC Statistical Network Europe special interest group will discuss advocacy opportunities, have your say to contribute to the future direction.
Initially a brief introduction to AI will be given, followed by a presentation of various applications in medicinal product lifecycle. Several aspects will be discussed including performance, theoretical and practical conditions and also regulatory guidelines.
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.
Who is this event intended for? Statisticians with an interest understanding dose-finding in oncology.
What is the benefit of attending? Learn about the state of oncology dose finding, particularly in light of current FDA guidance.
PSI Book Club Webinar: Atomic Habits - The Science of Getting Your Act Together
The book club’s usual focus is to read and discuss professional development books. In this short format event you can more easily develop you career without the commitment of reading the whole book - simply listen to the 1-hour long podcast before joining the interactive session on 21 May.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
The BioMarin internship programme will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, whilst gaining an insight into the pharmaceutical/biotech industry.
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