PSI New Starters Half-Day Networking Event
An opportunity to meet statisticians from across the pharmaceutical industry in a relaxed and informal setting. An exciting program of events and a chance to work in small groups on a data analysis challenge. Lunch provided.
A Non-PSI Event - Protecting confidentiality and privacy in clinical trial and medical data sets
We are increasingly living in a data driven world. Data are collected in many different ways for a variety of purposes. As such, concerns around protecting the privacy of individuals have increased in recent times.
A PSI Training Course - Practical Approaches to Designing Adaptive Clinical Trials
This hands-on course will provide a deep dive into 4 software packages used to design adaptive clinical trials. The course will start by providing a general overview of adaptive designs, explaining the different type of adaptations possible and the benefits of each design. Following this, participants will be given the opportunity to have a go at designing trials in R (using RPACTS), EAST, FACTS, and nQuery.
PSI Training Course - Bayesian Practical Course using R and SAS
This practical training course will give a deep dive into performing Bayesian analyses in R and SAS. It is aimed at statisticians who need to be able to conduct Bayesian analyses as part of their day to day work. By the end of the course participants will be able to conduct their own analyses.
Medical Statistics Careers Event 2020
Our annual PSI Medical Statistics Careers Event, will be held at the De Montfort University in Leicester on Wednesday 4th March 2020.
PSI Webinar - Statistical Operations Research
This webinar will address operational issues of paramount importance within the healthcare industry with a view to using statistics for the benefit of patients. In attending this webinar, you'll hear more about work being conducted to address some operational issues we face in the health care industrys e.g. patient rectuitment, drug supply and meeting NHS 18 week targets.
PSI Toxicology SIG Workshop
PSI Toxicology SIG workshop – 16th and 17th March 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 email@example.com if you have suggestions. Full details will be circulated in the coming weeks.
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…
Non-proportional hazards and applications in immuno-oncology
Designs of clinical trials with time to event primary endpoints usually rely on hazards being constant over time. A major challenge in immuno-oncology is the delayed onset of benefit with such therapies and the presence of non-proportional hazards. The impact of this needs to be accounted for in sample size calculations, analysis methodology and reporting. At this meeting, we will examine possible strategies to handle such features, which may not be fully known when the trial is initiated.
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 6 sessions in continental Europe and 3 - 4 sessions in the UK. It promises to be a truly memorable course.
Special Interest Groups
The Application and Implementation of Methodologies in Statistics (AIMS)
The Benefit-Risk SIG was set up at the start of 2012 to help support those involved in this fast evolving area.
Sharing experiences and challenges of external patient level data sharing with particular focus on data privacy and anonymization processes.
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.
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?
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...
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.
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).
To provide a forum to discuss the statistical issues involved in Regulatory and Investigative Toxicology.
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.