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.
The annual award is jointly organised by the Royal Statistical Society and PSI, the member organisation for statisticians in the pharmaceutical industry.
The judges found that Dr O'Kelly's entry, 'Promoting analytical solutions and best practices for handling missing data in pharmaceutical industry' provided a unifying framework for conducting simulations - an integral element of a statistician’s work within the pharmaceutical industry. The judges felt that in this respect, he has made a major contribution to enhancing the practical application of modelling and simulation methodology and tools for analysing data with missing values.
The award was particularly fitting for Dr O'Kelly this year as 2017 marks 25 years of his service to the pharmaceutical industry at Quintiles. He was presented with the award at a ceremony held during the PSI Conference on 16 May 2017.
'The award is a great chance to celebrate the very best and most influential work that statisticians in industry do,' said Tim Rolfe, board director at PSI. 'Michael’s practical guide on missing data combines existing, as well as novel ideas for analysis of incomplete data in clinical trials, which are critical to pharmaceutical companies meeting the increasing regulatory demands for proper handling of missing data.'
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.