PSI Journal Club: Limitations and Challenges with Mixed Model Repeated Measures (MMRM) Analysis
Moses Mwangi and Florian Lasch present their recent work on MMRM, with discussion lead by Geert Molenberghs.
EFSPI Data Sharing Working Group
Wednesday 21st June 2017
2.30-4.30pm (UK time)
Data Sharing and Data Privacy - what every statistician needs to know
Data sharing, data transparency and data privacy are areas that continue to evolve. For example, EMA Policy 70 is now effective with proactive publication of submitted clinical overviews and study reports. It is becoming more common for clinical trial data to be used to support scientific questions beyond the objectives of the original study.
The intent of this webinar is to provide an outline to pharmaceutical statisticians of key issues and concepts everyone dealing with and sharing patient level data should be aware of.
Presentation #1 Sharing clinical trial data externally – key data privacy concepts every statistician should know (Janice Branson and Nicola Orlandi (Novartis))
Click here to view the slides
Presentation #2 Data Sources to help inform drug development – what you give is also what you get (Sally Hollis (Phastar) and Rebecca Sudlow (Roche))
Click here to view the slides
To access the recording, please visit the Video-on-Demand Library.
Moses Mwangi and Florian Lasch present their recent work on MMRM, with discussion lead by Geert Molenberghs.
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.
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.
Talks from the speakers will cover the use of R in a programming community, submitted to regulators using R, and also programming beyond R in C++ and Julia.
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.
This webinar will explore two different approaches to Correlates of Protection in vaccine development.
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.
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.
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.