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.
Registration for the PSI Mentoring scheme will be open for a 6-week period, with the programme running for a span of 6 months.
Who is this scheme intended for? PSI Members looking for a mentor to further their career.
What is the benefit of participating? This scheme is an opportunity learn from senior industry colleagues, and network with industry peers to discuss current issues and future aspirations.
The PSI mentoring programme is aimed at members looking for a mentor to further their careers by expanding their network and learning from more senior colleagues in the industry. Mentors and mentees will be matched based on experience, personal goals and the sector they work in (unless otherwise requested).
An ice breaker session will be held at the beginning of the programme so that all mentors and mentees will have an opportunity to meet each other and gauge the chemistry between matches. We suggest that each pair of mentors and mentees meet at least once every two weeks but it will be up to them to create their own meeting schedule. Each pair will be paired for at least 6 months after which they are free to continue to meet outside of the programme. Additional guidance about the content of the sessions and how to make the most out of each meeting will be provided at a later date.
Registration for the mentoring scheme is free, and is open to Members of PSI only.
To register for the programme, please click here.
Registration is now closed.
If you wish to give feedback on this programme, please click here.
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.