Introduction to Survival Analysis using the SLS
This is a one-day workshop led by SLS Staff (Prof. Gillian Raab) on survival analysis for time to event data. The course is suitable for those with experience of statistical analyses but new to this type of analysis. It would be of particular interest to those considering using the Scottish Longitudinal Study to analyse time to event data.
This workshop will introduce methods to display and model time to event data, including Kaplan-Meier plots and Cox proportional hazards regression. The survival analysis theory will be complimented with hands-on practical sessions using either SPSS or Stata (R if sufficient interest is indicated) on training datasets similar to SLS data. Presentations of real projects will demonstrate research potential.
The course is intended for postgraduate students, academics and health or social researchers interested in learning how to do survival analysis in a statistical package. The course assumes some skills in statistical analysis, in particular a good knowledge of multiple regression and logistic regression would be beneficial. Additionally, a familiarity with using either SPSS, Stata or R syntax/command files is essential.
- Features of survival data including censoring and truncation
- Plotting survival data
- Log-rank tests
- Hazard rates
- Cox proportional hazard models
- Date: Tuesday 28th June 2016, 9.15am – 5.00pm
- Venue: Old Infirmary (Geography), Drummond Street, Edinburgh, EH8 9XP
- Price: Standard Registration – £30; Fee Exemption – PhD students and Edinburgh University\ADRC staff
- Lunch provided for all registered participants.
- Places limited to 20 – Early registration is recommended.