Our committees run the society. If you want greater input into how we do things, please volunteer. If you want to take on work outside of the daily grind of coding and meeting minutes, we could be that forum. We will find a way for your commitments to fit around your day job and to find a role that suits your interests.
The committees are charged with running our annual conference and regular scientific meetings, journal club, webinars and training courses; with coordinating industry-wide responses to regulatory issues; with promoting the value of statistics to students, the industry and the public; and with running our academic publications and the member communications that make the society a community.
| Communication Committee | Runs our journal (and the associated journal club), member communications and members magazine. |
| Careers Committee | Provides career related events and content for statisticians and programmers within the pharmaceutical industry. Careers sub-committees: PSI CALC, Schools Outreach, PSI ITIT |
| Membership and Community | The Membership and Community Committee is responsible for coordinating all areas of membership and community support within PSI. |
| Scientific | Responsible for our annual conference, one-day scientific meetings and webinars |
| External affairs | Works to persuade the industry of the value of statistical insight and to aid the lay public in the interpretation of risk. |
| Commercial | Supports the society's commercial activities and advertising. |
If you are thinking of signing up or want more detail, use the menu above to take a look at the committee pages and contact the committee chairs.
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 webinar consists of three presentations providing examples of where Bayesian methods have been used within confirmatory settings.
We will present the most frequently asked questions in the post-marketing space, the reasons why SATs are not able to address these questions, and how statisticians might reasonably influence decision makers to consider alternatives.
This course will introduce participants to the key concepts and methods relevant for analysing clinical trials when some data are missing.
The meeting will consider the importance of patient-centric input into regulatory and HTA decision-making discussing the latest developments in the field and presenting industry examples.
The next book we are reading is "The 7 Habits of Highly Effective People" by Stephen R. Covey. This is a classic in the personal development genre.
PD Dr. Tölch will present a framework to foster efficient evidence generation in preclinical experiments and will illustrate the proposed approach using examples from various projects. This will be followed by Q&A.
Our speaker will share her experience in extending/innovating methodology and concepts developed in vaccine statistics to the analyses of pre-efficacy and efficacy trials of monoclonal antibodies.
A careers talk about medical statistics and how it plays a crucial role in developing new medicines
Please join us to hear Kristian Brock and Ying Yuan present their recent work for our next Journal Club webinar, as sponsored by Wiley.
This course describes calculations for sample size estimation in the design of clinical trials. It will highlight how the objectives of a clinical trial will impact on sample size calculations. The course is a practical course and all methods will be illustrated with examples and case studies.
In this webinar, you will get to know how an innovative adaptive design can increase the probability of success of your early phase clinical trial as well as hear the latest and greatest of the Machine Learning workstream from the Biomarkers ESIG.
This one-day event will establish a forum to engage with colleagues from a diverse range of backgrounds who are actively working on effective master protocol design, analysis, and execution.
This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Over the course of two sessions, a panel of 8 esteemed speakers will give an introduction to the topic, followed by a presentation of case studies & interactive panel discussion.
