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
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.
The event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
Joint PSI/EFSPI Pre-Clinical SIG Webinar: Virtual Control Groups in Toxicity Studies
Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.
Joint PSI/EFSPI Data Science SIG Webinar: Developing Digital Measures (Digital Biomarkers) in Drug Development – insights from Mobilise D consortium
We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.
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 Webinar: Development of Gene Therapies: Strategic, Scientific, Regulatory and Access Considerations
This webinar will cover the history of cell/gene therapy, major regulatory advances, the role of quantitative scientists in drug development of these novel therapeutics, and discuss opportunities for innovation and product advancement.
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 Introduction to Industry Training (ITIT) Course - 2024/2025
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 networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Statisticians in the Pharmaceutical Industry Executive Office: c/o MCI UK Ltd | Unit 24/22 South | Building 4000 | Langstone Park| Langstone Road | Havant | PO9 1SA | UK