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PSI Training Course: R for Clinical Trial Statisticians
This course consists of 5 x 2 hour training sessions run over 5 weeks. For those who cannot attend the date and time provided, there will be a recording provided and a follow-up 1 hour Q and A session.
Participation will provide access to extensive course materials in the form of a “bookdown” site. However, this is designed as a hands-on, interactive course. Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.
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.
Joint PSI/EFSPI HTA SIG Webinar: Indirect treatment comparisons - choosing the right tool for the job
This event aims to provide information on the purpose and methods for ITC. The speakers will review and compare different approaches for ITC in both anchored and unanchored case. Both drug regulatory and reimbursement body’s views on using ITC will be discussed. The speakers will offer insights into issues such as marginal and conditional effect, unmeasured confounding and provide case studies to demonstrate the use of ITC methods in practice.
PSI Webinar: Navigating HTA and Patient Access with Insights from Indirect Treatment Comparisons
Talks from speakers will cover an introduction to HTA and indirect comparisons for value assessment before focusing in more specifically on topics related to the use of indirect treatment comparisons for patient access.
PSI Training Course: Introduction to Machine Learning
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.
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.