Free

An Introduction to Survival Analysis Training using the Scottish Longitudin...

Event Information

Share this event

Date and Time

Location

Location

UCL Christopher Ingold Building

20 Gordon Street

Kings Cross

London

WC1H 0AJ

United Kingdom

View Map

Event description

Description

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 (SLS) or any of the UK longitudinal studies 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.

Course programme:

  • Features of survival data including censoring and truncation
  • Plotting survival data
  • Log-rank tests
  • Hazard rates
  • Cox proportional hazard models

PLEASE BRING YOUR OWN LAPTOP

REGISTRATION: 9 - 9.30 am

The event is open to all UK registered students, university staff and those working for government agencies or local authorities.

THIS IS A FREE EVENT

* Nearer the time, the SLS-DSU will email registered participants to confirm their preferred statistical package - Stata or R.*

Share with friends

Date and Time

Location

UCL Christopher Ingold Building

20 Gordon Street

Kings Cross

London

WC1H 0AJ

United Kingdom

View Map

Save This Event

Event Saved