Courses/Events

Time-to-event (survival) data arises whenever interest centres on measuring the time from a starting point until the occurrence of a particular event. In medical studies, the event may be death, recurrence of a disease or the remission of a disease; the starting point may be the date of recruitment into the study, the time of diagnosis or the time of surgery. Time-to-event data typically includes censoring, and hence requires a particular form of analysis.

The aims of this course are:

1.To introduce the concepts and the methods commonly employed in analysing time-to-event data in a user-friendly manner
2.To demonstrate how the statistical package SPSS® can be used to analyse time-to-event data

By the end of this course, you should be able to use SPSS® to analyse time-to-event data, in particular to:

•Describe time-to-event data appropriately, and estimate a survival curve
•Compare survival in two or more groups
•Use Cox regression to adjust for baseline measurements
•Assess whether Cox regression is an appropriate method of analysis for your data