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.