This 2-day course will provide an introduction to the methods of health technology assessment. There will be a focus on how to estimate the costs and benefits of new interventions and analysis undertaken to support decisions about whether new interventions should be funded by health systems. The first day will include sessions on policy context and basic economic evaluation methods, as well as lectures on health measurement and valuation for HTA, evidence synthesis and decision analysis. There will also be exercises to confirm participants’ understanding of key concepts. The second day will focus on sharing case studies and discussing key statistical challenges in HTA such as treatment switching, extrapolation, and network meta-analysis. Attendees will be encouraged to share their own HTA experiences.
Mark Sculpher, Professor of Health Economics and Director of the Programme on Economic Evaluation and Health Technology Assessment at the University of York.
Neil Hawkins, Professor of Health Economics and Health Technology Assessment at the University of Glasgow.
Jan McKendrick, Senior Director at PRMA Consulting Ltd.
Anja Schiel, Senior Advisor and Statistician and the Norwegian Medicines Agency (NoMA)
Jonathan Alsop, Director at Numerus.
Course runs from:
Day 1: 09:00 – 17:30 (registration from 8:30)
Day 2: 09:00 – 15:30
Registration:
Registration has now closed.
PSI are holding a limited number of reduced price hotel rooms at Gothia Towers until the 23rd March which will be allocated on a first come first served basis.
Registration costs (includes lunch and refreshments)
Before 23rd March
PSI Members
£495
Non-Members
£590
After 23rd March
PSI Members
£595
Non-Members
£690
PSI are holding a limited number of hotel rooms at Gothia Towers on 23rd and 24th April which will be allocated on a first come first served basis. Rooms will be charged at £115 per room per night including breakfast. Please contact psi@mci-group.com to make a reservation.
Upcoming Events
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This course is aimed at clinical trial statisticians who are new to or with limited experience of machine learning. Attendees will learn about a range of topics in machine learning, including practical sessions in R.
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.
The event will open with an overview on drug development in women’s health from a clinician perspective. This talk is followed by talks about statistical challenges when planning IVF studies and analysing the menstrual cycles.
This webinar will provide an overview of surrogacy for licensing and reimbursement. In turn, the need of extensions of the SPIRIT and CONSORT statement will be defined and outlined, with case studies to support.
Joint PSI/EFSPI Pre-Clinical SIG Webinar: Virtual Control Groups in Toxicity Studies
Lea Vaas will present how replacement of concurrent control animals by Virtual Control Groups (VCGs) in systemic toxicity studies may help in contributing to the 3R's principle of animal experimentation: Reduce, Refine, Replace.
Joint PSI/EFSPI Data Science SIG Webinar: Developing Digital Measures (Digital Biomarkers) in Drug Development – insights from Mobilise D consortium
We will share a brief overview of what Mobilise D is and why it is an important step stone in the development of digital biomarkers, and how Mobilise D outputs can be relevant for you.
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.
PSI Introduction to Industry Training (ITIT) Course - 2024/2025
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.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
Statisticians in the Pharmaceutical Industry Executive Office: c/o MCI UK Ltd | Unit 24/22 South | Building 4000 | Langstone Park| Langstone Road | Havant | PO9 1SA | UK