The Forum, University of Exeter
Presented by Professor Dave Collett
Standard methods of survival analysis based on the Kaplan-Meier estimate of a survivor function, the log rank test and Cox regression modelling are widely used in many different areas of application. But often, the assumptions that underlie these techniques may not be valid, or the data structure may be more complex. Extensions of these basic methods allow particular features of data that occur in practice to be handled appropriately. This course will describe some of these more advanced methods and illustrate their practical application using SAS and R.
The course assumes familiarity with basic methods for summarising survival data, including estimates of the survivor function and the log rank test. Some experience in using the Cox regression model would be advantageous.
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.
PSI are starting a book club! We will be reading/discussing non-technical books relevant to our roles. Participants will be split into smaller groups to network with each other and practice exercises.
In this short course, we will provide a statistical framework to incorporate external information into a trial. Bayesian Dynamic Borrowing designs based on the meta-analytic predictive (MAP) model will be detailed, and a practice session will be proposed with applications using the R package RBesT.
Our annual PSI Medical Statistics Careers Event, will be held online on Wednesday 2nd March 2022. The event will include a live online panel discussion and a virtual exhibition session.
We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices.
In this role you will consult in the design of complex and innovative studies and clinical trial programs as well as Leading DMC/DSMB processes.
Joining us as Principal Biostatistician you will be responsible for providing statistical support of global clinical development programs in neuroscience.
