We are a community dedicated to leading and promoting the use of statistics within the healthcare industry for the benefit of patients.
Join Today
Join Today
Shaping the future of statistics
7 - 10 June 2020
Cancelled
Find out more

Upcoming Events

Visualising the drug harm profile in Randomised Controlled Trials – A Consensus of UK trial researchers

The UKCRC CTU statisticians’ operations group in collaboration with Imperial College London are hosting a one-day consensus meeting to develop recommendations to support researchers in their choice of visualisations for adverse event data in RCT publications.

PSI Webinar: How can PSI, “a community dedicated to leading and promoting the use of statistics within the healthcare industries for the benefit of patients”, help you be more successful in your career?

Have you ever wondered what it takes to be successful as a statistician or data scientist in the healthcare/pharma industry and what can give you the extra edge to develop your career? Come and listen to these industry leaders views on how to be successful and the advantages of being part of the PSI community.

PSI Journal Club: Progressing Phase II Data into Phase III

Our next journal club features two papers on the topic of Progressing Phase II Data into Phase III, held on the 23rd April 2020 from 4-5pm BST. Please join us to hear Haolun Shi (Simon Fraser University, Burnaby) and Daniele De Martini (Università degli Studi di Milano‐Bicocca, Milan) present their recent work. The webinar will be chaired by Andy Grieve (UCB).

Introduction To Industry Training Course 2020

The ITIT course will take 25 delegates new to the industry on a complete drug development experience from discovery to marketing. They will visit 6 companies from October 2020 to July 2021 to learn about 6 topics from experts in their field. The ITIT course will have 3 sessions in continental Europe and 3 - 4 sessions in the UK. It promises to be a truly memorable course.

A PSI Training Course - R for SAS Users

This course is aimed at Statisticians and Programmers experienced in SAS, but little or no experience with R. An Introduction to R studio and the R language, statistical graphics, programming statistical models, simulations and more…

PSI Toxicology SIG Workshop

PSI Toxicology SIG workshop – 24th and 25th November 2020 The Toxicology SIG provides a forum for statisticians working in regulatory/investigative toxicology, as well as most other pre-clinical areas, to discuss issues and interact with one another. This 1.5-day workshop will involve approximately 20 statisticians, focusing on discussions around “best practice” in the statistical analysis of various data types. The afternoon of Day 1 will include a 4.5 hour Bayesian training course focused towards applications in toxicology/pre-clinical, provided by Prof. Dr. Katja Ickstadt and is included in the workshop fee. The cost will be £270 including VAT per delegate, inclusive of food and one night’s accommodation (and the training course). The workshop is being held at the Crowne Plaza Hotel, Heathrow. The agenda and topics that will be discussed are yet to be finalised, but please get in touch with gareth.thomas@covance.com if you have suggestions. Full details will be circulated in the coming weeks.

Special Interest Groups

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.

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 Transparency

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...

New Starters

A special interest group to facilitate networking amongst ‘new starters’ (statisticians and programmers) working in medical research - the pharmaceutical industry, Contract Research Organisations and Clinical Trial Units. The group will organise between one and three events per year to achieve this. Networking will be facilitated through three types of event – symposia, development and social.

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.

Subgroup Analysis

Subgroup analysis is routinely conducted in drug development, in various settings; one key aspect is the regulatory requirement to demonstrate consistency of treatment effect across a pre-defined set of subgroups (e.g., ICHE5, E9, E17).

Toxicology

To provide a forum to discuss the statistical issues involved in Regulatory and Investigative Toxicology.

Vaccines

Creating a professional platform for statisticians in the Pharmaceutical industry, Regulatory agencies and Public Health organizations working on the research and development of vaccines to understand how best to apply methodologies.

Visualisation

Effective visualisation of data should belong to the core skills of statisticians as it represents an essential tool in exploring data as well as explaining data.