PSI VisSIG Wonderful Wednesday Webinar Series
This is a good opportunity to develop your knowledge by thinking through a practical example, practicing how to apply graphics principles, and developing your coding skills.
Why do we have a Data Sharing ESIG?
Clinical data has greater use beyond the original trial. These data can be used to further increase our scientific understanding of diseases and their treatment for the benefit of future patients. Dataset re-use is increasingly becoming part of good trial practice e.g. use of historical control arm data for planning, adding together the findings from many trials, and doing methodology work to improve the way we do future trials. Alongside this, clinical trial documents are increasingly required to be open to access to the public within the regulatory framework (e.g. EMA Policy 70, EU CTR). All this is challenging, as both the data privacy and the regulatory framework continue to evolve.
Who are we?
This ESIG comprises statisticians (both from pharma and academia) and some policy experts who are working or have interest in the data re-use, data privacy and data sharing space.
What’s our purpose?
1. Promote an understanding of the challenges and responsibility organisations and statisticians have when re-using or sharing clinical data.
2. Improve understanding, implementation and data privacy concepts within the context of clinical trial data sharing.
3. Influence and shape the environment and policies regarding clinical data sharing.
4. Collaborate with other groups and stakeholders in this area.
Want to know more?
Check out the resources we have on our ESIG page.
Would you like to join us?
New members are welcome! If you’re interested in finding out more please contact Rebecca Sudlow or Mimmi Sundler for further information.
This is a good opportunity to develop your knowledge by thinking through a practical example, practicing how to apply graphics principles, and developing your coding skills.
In this talk, you will learn how to quickly explore your data in the web browser and how to create, collaborate and share interactive visualisations with others.
Dr Francq will discuss the need for analytical methods to deliver unbiased and precise results and talk in detail on confidence, prediction and tolerance intervals work in linear mixed models and the interpretation of statistical results. This will be followed by Q&A.
During this session you will explore how we best execute change within our roles, build your practical understanding of agile tools and techniques, and inspire you to experiment with the new ways of working to deliver your goals.
To understand how the estimand framework changed the development of clinical trials.
Aimed at Statisticians working on the design of Clinical Trials, participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.
The Apprentice Biostatistician splits their time between working for Parexel and performing studies with a university to obtain a MSc in Statistics over a period of three years.
We are actively looking to expand our team in Wokingham with a permanent position for a Biostatistician / Statistical Programmer.
We are looking for a Principal Statistician to be part of exciting work combing clinical trial data and biomarker data to support the future development of molecules within the therapeutic areas of obesity and NASH.
Biostatistics GLP-1 & CV 1 is seeking statisticians at Specialist and Principal level to be part of the biostatistics team responsible for Novo Nordisk’s large cardiovascular outcomes trials.
The position will be made to match the seniority of the candidate and for the right candidate we offer the opportunity to work mostly homebased from European locations.