PSI ToxSIG Webinar: Beyond the looking glass - Interpreting animal welfare & behaviour by monitoring & assessing mice activity data
Analysing continuously collected locomotive activity data to interpret mice welfare and behaviour.
The Forum, University of Exeter
The course assumes familiarity with basic methods for summarising survival data, including estimates of the survivor function and the log rank test.
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.
Analysing continuously collected locomotive activity data to interpret mice welfare and behaviour.
Our next journal club features two papers on the topic of Survival Analysis. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
The field of data visualization is the intersection of data journalism, statistics, graphic design, computer science, neuroscience, and cognitive psychology. We will focus on the latter two fields of data visualization as it relates to data visualization: neuroscience and cognitive psychology.
Hear about potential strategies to handle non-proportional hazards and delayed treatment effects from experts in the field.
As a statistician in the Biostatistics and Programming Department, you will be responsible for the methodological and statistical aspects of projects in early clinical development in order to optimize the early development plan and ensure its coherence.
By joining our company, in this role you will apply your skills and experience in support of developing scientifically based arguments aiming to provide fair accessibility to our company’s drugs and vaccines making a real difference in patient’s lives.
As a Director of Statistics, you will be accountable for guiding statisticians in their work, performing senior review of documentation and output deliveries, providing oversight and advising on best practices approach to statistics for clinical trials.