Past PSI Events

Conferences

PSI Training Course - Bayesian Practical Course using R and SAS

A PSI Training Course

Bayesian Practical Course using R and SAS

Presented by Marco Munda and Maud Hennion 

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.

 

To register for this event, please click here.
.

If you have any questions, please email psi@mci-group.com or call 01730 715235

Scientific Meetings

PSI Training Course - Bayesian Practical Course using R and SAS

A PSI Training Course

Bayesian Practical Course using R and SAS

Presented by Marco Munda and Maud Hennion 

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.

 

To register for this event, please click here.
.

If you have any questions, please email psi@mci-group.com or call 01730 715235

Training Courses

PSI Training Course - Bayesian Practical Course using R and SAS

A PSI Training Course

Bayesian Practical Course using R and SAS

Presented by Marco Munda and Maud Hennion 

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.

 

To register for this event, please click here.
.

If you have any questions, please email psi@mci-group.com or call 01730 715235

Journal Club

PSI Training Course - Bayesian Practical Course using R and SAS

A PSI Training Course

Bayesian Practical Course using R and SAS

Presented by Marco Munda and Maud Hennion 

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.

 

To register for this event, please click here.
.

If you have any questions, please email psi@mci-group.com or call 01730 715235

Webinars

PSI Training Course - Bayesian Practical Course using R and SAS

A PSI Training Course

Bayesian Practical Course using R and SAS

Presented by Marco Munda and Maud Hennion 

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.

 

To register for this event, please click here.
.

If you have any questions, please email psi@mci-group.com or call 01730 715235

Careers Meetings

PSI Training Course - Bayesian Practical Course using R and SAS

A PSI Training Course

Bayesian Practical Course using R and SAS

Presented by Marco Munda and Maud Hennion 

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.

 

To register for this event, please click here.
.

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.

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.

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.

PSI Webinar: Methods and tools integrating clinical trial evidence with historical or real-world data, Bayesian borrowing, and causal inference

This webinar is organised by the RWD SIG and the Historical Data SIG. We will review recent methods, applications, and tools of integrating subject-level-data from clinical trial with external data using Bayesian methods and/or causal inference methods.

PSI Career Young Virtual Event (Q2 2025)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

Latest Jobs

Principal Statistician - Labcorp

This is an exciting, new opportunity for an experienced Statistician looking to take the next step in their career. Offered as a remote or hybrid position aligned with our site in Harrogate, North Yorkshire.