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
PSI Mentoring 2025
Date: Ongoing 6 month cycle beginning late April/early May 2024
Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.
PSI Training Course: Mixed Models and Repeated Measures
This course is presented through lectures and practical sessions using SAS code. It is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models.
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.
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 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.
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.