With increased pressures to run smaller, quicker studies that need to deliver more answers than ever before we are tasked with designing innovative studies that can meet these demands but remain statistically sound. This 1-day meeting aims to address how we, as statisticians, can better communicate the underlying complex statistical methodology such that our clinical colleagues better understand the risks and the decisions they will be able to make at the end of the study.
8:50
Registration & Coffee
9:10
Welcome & Introduction
9:15
Some experiences of communicating probabilities and errors in Exploratory Development at UCB Ros Walley & Peter Colman (UCB)
10:00
A picture is worth a thousand words - usually Stephen Senn (CRP-Santé)
10:45
Tea & Coffee
11:00
A thousand numbers cannot say enough: communicating Bayesian statistics using examples, intuition and common sense Simon Wandel (Novartis)
11:45
Prediction as Inference Harry Southworth (Data Clarity Consulting)
12:30
Lunch
13:30
Unconventional clinical development trials - what can possibly go wrong? A case study Bill Richardson (NDA Group)
14:15
Communicating Benefits and Risks of Medicines for Decision-Making Deborah Ashby (Imperial College London)
15:00
Tea & Coffee
15:15
Statistician Heal Thyself – Good Communication Requires Real Understanding Andy Grieve (Aptiv Solutions)
With increased pressures to run smaller, quicker studies that need to deliver more answers than ever before we are tasked with designing innovative studies that can meet these demands but remain statistically sound. This 1-day meeting aims to address how we, as statisticians, can better communicate the underlying complex statistical methodology such that our clinical colleagues better understand the risks and the decisions they will be able to make at the end of the study.
8:50
Registration & Coffee
9:10
Welcome & Introduction
9:15
Some experiences of communicating probabilities and errors in Exploratory Development at UCB Ros Walley & Peter Colman (UCB)
10:00
A picture is worth a thousand words - usually Stephen Senn (CRP-Santé)
10:45
Tea & Coffee
11:00
A thousand numbers cannot say enough: communicating Bayesian statistics using examples, intuition and common sense Simon Wandel (Novartis)
11:45
Prediction as Inference Harry Southworth (Data Clarity Consulting)
12:30
Lunch
13:30
Unconventional clinical development trials - what can possibly go wrong? A case study Bill Richardson (NDA Group)
14:15
Communicating Benefits and Risks of Medicines for Decision-Making Deborah Ashby (Imperial College London)
15:00
Tea & Coffee
15:15
Statistician Heal Thyself – Good Communication Requires Real Understanding Andy Grieve (Aptiv Solutions)
With increased pressures to run smaller, quicker studies that need to deliver more answers than ever before we are tasked with designing innovative studies that can meet these demands but remain statistically sound. This 1-day meeting aims to address how we, as statisticians, can better communicate the underlying complex statistical methodology such that our clinical colleagues better understand the risks and the decisions they will be able to make at the end of the study.
8:50
Registration & Coffee
9:10
Welcome & Introduction
9:15
Some experiences of communicating probabilities and errors in Exploratory Development at UCB Ros Walley & Peter Colman (UCB)
10:00
A picture is worth a thousand words - usually Stephen Senn (CRP-Santé)
10:45
Tea & Coffee
11:00
A thousand numbers cannot say enough: communicating Bayesian statistics using examples, intuition and common sense Simon Wandel (Novartis)
11:45
Prediction as Inference Harry Southworth (Data Clarity Consulting)
12:30
Lunch
13:30
Unconventional clinical development trials - what can possibly go wrong? A case study Bill Richardson (NDA Group)
14:15
Communicating Benefits and Risks of Medicines for Decision-Making Deborah Ashby (Imperial College London)
15:00
Tea & Coffee
15:15
Statistician Heal Thyself – Good Communication Requires Real Understanding Andy Grieve (Aptiv Solutions)
With increased pressures to run smaller, quicker studies that need to deliver more answers than ever before we are tasked with designing innovative studies that can meet these demands but remain statistically sound. This 1-day meeting aims to address how we, as statisticians, can better communicate the underlying complex statistical methodology such that our clinical colleagues better understand the risks and the decisions they will be able to make at the end of the study.
8:50
Registration & Coffee
9:10
Welcome & Introduction
9:15
Some experiences of communicating probabilities and errors in Exploratory Development at UCB Ros Walley & Peter Colman (UCB)
10:00
A picture is worth a thousand words - usually Stephen Senn (CRP-Santé)
10:45
Tea & Coffee
11:00
A thousand numbers cannot say enough: communicating Bayesian statistics using examples, intuition and common sense Simon Wandel (Novartis)
11:45
Prediction as Inference Harry Southworth (Data Clarity Consulting)
12:30
Lunch
13:30
Unconventional clinical development trials - what can possibly go wrong? A case study Bill Richardson (NDA Group)
14:15
Communicating Benefits and Risks of Medicines for Decision-Making Deborah Ashby (Imperial College London)
15:00
Tea & Coffee
15:15
Statistician Heal Thyself – Good Communication Requires Real Understanding Andy Grieve (Aptiv Solutions)
With increased pressures to run smaller, quicker studies that need to deliver more answers than ever before we are tasked with designing innovative studies that can meet these demands but remain statistically sound. This 1-day meeting aims to address how we, as statisticians, can better communicate the underlying complex statistical methodology such that our clinical colleagues better understand the risks and the decisions they will be able to make at the end of the study.
8:50
Registration & Coffee
9:10
Welcome & Introduction
9:15
Some experiences of communicating probabilities and errors in Exploratory Development at UCB Ros Walley & Peter Colman (UCB)
10:00
A picture is worth a thousand words - usually Stephen Senn (CRP-Santé)
10:45
Tea & Coffee
11:00
A thousand numbers cannot say enough: communicating Bayesian statistics using examples, intuition and common sense Simon Wandel (Novartis)
11:45
Prediction as Inference Harry Southworth (Data Clarity Consulting)
12:30
Lunch
13:30
Unconventional clinical development trials - what can possibly go wrong? A case study Bill Richardson (NDA Group)
14:15
Communicating Benefits and Risks of Medicines for Decision-Making Deborah Ashby (Imperial College London)
15:00
Tea & Coffee
15:15
Statistician Heal Thyself – Good Communication Requires Real Understanding Andy Grieve (Aptiv Solutions)
With increased pressures to run smaller, quicker studies that need to deliver more answers than ever before we are tasked with designing innovative studies that can meet these demands but remain statistically sound. This 1-day meeting aims to address how we, as statisticians, can better communicate the underlying complex statistical methodology such that our clinical colleagues better understand the risks and the decisions they will be able to make at the end of the study.
8:50
Registration & Coffee
9:10
Welcome & Introduction
9:15
Some experiences of communicating probabilities and errors in Exploratory Development at UCB Ros Walley & Peter Colman (UCB)
10:00
A picture is worth a thousand words - usually Stephen Senn (CRP-Santé)
10:45
Tea & Coffee
11:00
A thousand numbers cannot say enough: communicating Bayesian statistics using examples, intuition and common sense Simon Wandel (Novartis)
11:45
Prediction as Inference Harry Southworth (Data Clarity Consulting)
12:30
Lunch
13:30
Unconventional clinical development trials - what can possibly go wrong? A case study Bill Richardson (NDA Group)
14:15
Communicating Benefits and Risks of Medicines for Decision-Making Deborah Ashby (Imperial College London)
15:00
Tea & Coffee
15:15
Statistician Heal Thyself – Good Communication Requires Real Understanding Andy Grieve (Aptiv Solutions)
MEETING ABSTRACTS AND PRESENTATIONS WILL BE POSTED ON www.psiweb.org
Attendance at the course counts as 7.5 hours towards any CPD requirements
Many thanks to UCB for hosting this event
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.
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.
PSI Training Course: Regulatory Guidelines for Statisticians
This 2-day course is designed to provide a comprehensive understanding of the regulatory guidelines affecting statisticians in the pharmaceutical industry, including the latest updates in the field. The course will cover key International Council for Harmonisation (ICH) guidelines and other key regional regulatory agency documents.
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.
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 apprenticeship role offers a unique opportunity to learn and work in a global healthcare consultancy company alongside a team of statisticians, psychometricians and programmers.
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