Introduction to Survival Analysis Training

Date:

07/06/2018

Organised by:

University of Edinburgh

Presenter:

Professor Gillian Raab

Level:

Entry (no or almost no prior knowledge)

Contact:

Angela Fallon, 0131-314-4310 angela.fallon@ed.ac.uk

Map:

View in Google Maps  (EH8 9XP)

Venue:

University of Edinburgh, Old Infirmary (Geography),1 Drummond Street, Edinburgh

Description:

This is a one-day workshop led by SLS staff (Prof Gillian Raab) 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 either SPSS or 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 either SPSS, 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

Booking information: 

  • Price: Standard Registration - £30; Fee Exemption - Q-Step or PhD students at Edinburgh University/ADRC-S staff/LONGPOP ESR 
  • Lunch provided for all registered participants.
  • Places limited to 20 - Early registration is recommended.
  • Registration 9am, course 09:15-17:00

REGISTRATION: https://sls.lscs.ac.uk/events/

Enquires: angela.fallon@ed.ac.uk

This course is being jointly run by the LSCS and the European H2020 project “Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers” (LONGPOP).

Cost:

Price: Standard Registration - £30; Fee Exemption - Q-Step or PhD students at Edinburgh University/ADRC-S staff/LONGPOP ESR

Website and registration:

Region:

Scotland

Keywords:

Quantitative Data Handling and Data Analysis, Research Skills, Communication and Dissemination, Statistical analysis longitudinal data

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Research Skills, Communication and Dissemination

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