An Introduction to Survival Analysis using the Scottish Longitudinal Study Training Dataset
7th November 2019, UCL Christopher Ingold Building, 20 Gordon Street, Kings Cross, London, WC1H 0AJ
This is a one-day workshop on survival analysis for time to event data suitable for those with experience of statistical analyses but new to this type of analysis. This course 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 Stata (R if sufficient interest is indicated) on training datasets. Presentations of real projects will also be given to demonstrate research potential.
The course is intended for postgraduate students, academics and social or health 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 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
Event Time: 09:30-17:00
REGISTRATION: 09:00 – 09:30
The event is open to all UK registered students, university staff and those working for government agencies or local authorities.
PLEASE BRING YOUR OWN LAPTOP
THIS IS A FREE EVENT
* Nearer the time, the SLS-DSU will email registered participants to confirm their preferred statistical package – Stata or R.*
BOOKINGS VIA EVENTBRITE
January 28, 2022 at Online