Upcoming Events
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
Date: The Second Wednesday of every Month 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 Career Young Virtual Event (Q4 2024)
Date: Tuesday 10th December 2024 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 Journal Club: Group Sequential Designs
Date: Thursday 12th December 2024 Chaired by Jenny Devenport, join us to hear Andy Grieve and Zhiwei Zhang discuss their recent work on group sequential designs.
PSI Introduction to Industry Training (ITIT) Course - 2024/2025
Date: October 2024 - July 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: Mixed Models and Repeated Measures
Dates: Monday 3rd February 2025: 08:30-13:00 BST Tuesday 4th February 2025: 08:30 - 13:00 BST Wednesday 5th February 2025: 08:30 - 13:00 BST Thursday 6th February 2025: 08:30 - 13:00 BST 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.
Special Interest Groups
AI and ML
For clinical research statisticians, where specifically are AI & ML useful – considering regulatory requirements.
AIMS
The Application and Implementation of Methodologies in Statistics (AIMS)
Benefit-Risk
The Benefit-Risk SIG was set up at the start of 2012 to help support those involved in this fast evolving area.
Biomarkers
The PSI / EFSPI Biomarkers Special Interest Group has been formed with the aim of developing knowledge and opinions within the statisticians about biomarker usage and the related statistical and study design techniques that are involved.
Causal Inference
Apply advances in causal inference methodology to address industry applications in RCT’s, while taking into account the framework of ICH, e.g. E9(R1), as well as guidelines from health authorities...
CMC Statistical Network Europe
Chemistry, Manufacturing and Control Statisticians, working in Europe for pharmaceutical companies and CROs active in R&D, and we seek to collaborate and exchange in any precompetitive topic of our field.
CSM/QTL
The CSM/QTL SIG is a joint collaboration including PSI, ASA BIOP & EFSPI providing a forum to discuss strategies and methodology with other interested parties in Centralised Statistical Monitoring and Quality Tolerance Limits
Data Science
Bridging Data Science knowledge and expertise across various groups and functions within the pharmaceutical industry to increase collaboration, awareness, knowledge sharing and enhance drug development. We’ll encourage the development of new statistical and machine learning methods and approaches as well as in novel applications of the well-established methods.
Data Sharing
Sharing experiences and challenges of external patient level data sharing with particular focus on data privacy and anonymization processes.
Decision Making
The Quantitative Decision-making Special Interest Group (QDM SIG) was formed in October 2017. It is a group of statisticians from industry and academia, with experience and interests in statistical methods for quantitative decision-making in drug development.
Historical Data
What is the state of the art regarding approaches to incorporate historical data into the formal design and analysis of clinical trials, Which statistical methods should we use to make historical and current data comparable, What are the regulatory requirements necessary for the acceptance of historical data in drug approval?
HTA
The purpose of the Healthcare Technology Assessment SIG is to provide statisticians working in the Pharmaceutical Industry engaged in Health Technology Assessments, and others in related fields of research...
Launch & Lifecycle
Providing a platform for statisticians from sponsors and CROs to working in the launch and lifecycle management (including traditional medical affairs area,
Neuroscience-Estimands
This SIG will connect the following two topics: general biostatistics Neuroscience community, and working groups on estimands & other topics in Neuroscience.
Oncology-Estimands
The draft addendum of the ICH E9 guideline on Statistical Principles for Clinical Trials was released in August 2017 and introduced an estimand framework. In February 2018, Evgeny Degtyarev from Novartis and Kaspar Rufibach from Roche started an informal working group to discuss how to implement the draft addendum in oncological clinical trials.
Patient-Focused Drug Development
The purpose of the PFDD SIG is to connect statisticians in pharmaceutical industry roles who work on progressing the inclusion of patient-reported outcomes (PROs) and clinical outcome assessments (COAs) across all phases of drug development process to share their knowledge and also lead statistical thinking and methods to solve common statistical challenges of use of COAs in drug development.
Pre-clinical
To provide a forum to discuss the statistical issues involved in Regulatory and Investigative Toxicology.
Randomisation
Our passion is to change the way randomisation is considered and performed in clinical trials.
Regulatory
The regulatory SIG co-ordinates regulatory activities across the European Pharmaceutical Statistical community and to engage with European Regulatory statisticians.
RWD
A special interest group to increase collaboration and enhance awareness of strategies and methodologies applied in the utilization of Real World Data in the pharmaceutical industry.
St James House | Vicar Lane | Sheffield | S1 2EX | UK