Scottish Longitudinal Study
Development & Support Unit

Events

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Introduction to the SLS Training Seminar 2019

5th June 2019 - Registration 9.00-9.30am. Event runs from 0930-1700

Venue: The Institute of Geography (Old Infirmary) 1 Drummond Street Edinburgh EH8 9XP (Lecture Theatre 2.13)

The Scottish Longitudinal Study (SLS) links together routinely collected administrative data for a 5.3% representative sample of the Scottish population (about 270,000 people). It includes a wealth of information from the censuses (1991 to 2011), vital events registrations (births, deaths, marriages), weather and pollution data, and education data from 2007 onwards. The SLS with appropriate permissions can also be linked to other health data sources such as cancer registry and hospital admission data from the NHS in Scotland.

The size and scope of the SLS make it an unparalleled resource for analysing a range of socio-economic, demographic and health questions, including those which are based on reasonably rare events. The longitudinal nature of the SLS is particularly valuable, it provides insights into the health and social status of the Scottish population and, how it changes over time.

The course content will include:

  • Introducing the SLS and the main data sources that are linked, including Census data, Vital Events data (births, deaths, marriages) and Education data
  • Examples of the types of studies that could be undertaken using the SLS
  • Detailed information about how to access the SLS
  • An overview of the possibilities to link the SLS to NHS health data (cancer registry and hospital admission data, etc)
  • An introduction to the online Data Dictionary and a hands-on computer lab in SPSS
  • The new SLS Birth Cohort of 1936 (SLSBC1936) and SLS future development
Price: Standard Registration – £15; Fee Exemption – PhD students and Edinburgh University/ADRC staff

Lunch provided for all registered participants. 

Booking

Event date: June 5, 2019 at The Institute of Geography (Old Infirmary) 1 Drummond Street Edinburgh EH8 9XP

Published on 11 April 2019
Permalink to Event on calls.ac.uk website »

Introduction to Survival Analysis Training Course 2019

6th June 2019 - Registration is 09.15-09.40  - Course begins promptly at 9.45am

Venue: The Institute of Geography (Old Infirmary), 1 Drummond Street, Edinburgh EH8 9XP (Computer Lab 1.26)

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 (more details below).

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

Standard Registration – £30; Fee Exemption – PhD students and Edinburgh University staff & ADRC-S staff

Lunch provided for all registered participants.

Places limited to 20 – Early registration is recommended

BOOKING

Event date: June 6, 2019 at Computer Lab 1.26, The Institute of Geography (Old Infirmary), 1 Drummond Street, Edinburgh EH8 9XP

Published on 11 April 2019
Permalink to Event on calls.ac.uk website »

 

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