Survival analysis deals with time-to-event data. As their name suggests, such data describe the length of time until some event of interest. The event of interest can be anything. For example, individuals might be followed from birth to the onset of a particular disease, patients might be followed until death after diagnosis of a disease, athletes might be followed until they retire, or the time until mechanical failure of a structure could be studied.
Survival analysis methods are typically applied to data collected going forward in time such as data from a prospective cohort study or randomised controlled trial. This meet-up will explore non-parametric and semi-parametric survival analysis techniques using a publicly available clinical dataset and R.