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.
We are now accepting entries for the 2018 awards
Our award for statistical excellence in the pharmaceutical industry is made jointly with the RSS (Royal Statistical Society) every year.
The award is for the most influential example of the application of an existing statistical practice, or the implementation of an innovative statistical practice, in this industry.
Criteria
We are looking for entries that have demonstrated one or more of the following:
- A clear understanding of the needs of researchers and investigators
- An application of an existing statistical practice to a new area that has increased the quality and efficiency of investigations
- A new development in the design of investigations and/or the analysis of data that has led to further insights into the safety, efficacy and value of medicines or devices
- An excellent way to communicate results that is clear and helpful to a wide array of users, showing how statisticians understand the range of user needs
Nominees can be based anywhere in the world and do not need to be a member of PSI or the RSS. The award will be presented at the Annual PSI Conference which will be held in Amsterdam from 3rd – 6th June 2018.
Download the entry form here
The deadline for entries is midnight on Friday 20th April 2018.
Previous winners
The 2017 award was presented to Michael O'Kelly for his work 'Promoting analytical solutions and best practices for handling missing data in 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. Learn more about the winning entry on StatsLife
Richard Nixon of Novartis was presented with the award in 2016 for “Enhancing decision-making in drug development using quantitative approaches’. Read more about his winning entry on StatsLife.
Katrina Gore and Nicky Best (joint winners, 2015, Pfizer and GSK respectively). Katrina Gore for her work on the Assay Capability Tool (ACT), designed to guide the development of drug discovery assays. Nicky Best for her work implementing a process that has turned beliefs about the chances of success into formal prior distributions. Read more about the winning entries on StatsLife.
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.