Scottish Longitudinal Study
Development & Support Unit

Events

  • UPCOMING EVENTS

Population fact or fake news: you decide!

4th November 2019, New Register House (The Dome), 3 West Register Street, Edinburgh EH1 3YT

In an age of fake news, can you tell population fact from fiction? What is the average age of the population? What proportion are immigrants? How many people live with an illness or disability?

Join social science experts from the Scottish Longitudinal Study (SLS) and the Usher Institute and test yourself with an interactive smartphone and tablet based quiz featuring real-time live results and interactive discussion.

Showcasing the importance of accurate and rigorous statistical data this event will highlight our own mis-perceptions and biases and help you figure out fact from fiction!

Note: audience members will need to bring an internet enabled device (e.g. smartphone/ tablet/ laptop) in order to participate in the interactive elements of the event.

The event is open to the public.

Entry is FREE.

Event time:  14:00 - 16:00

Booking via Eventbrite

Email: sls@lscs.ac.uk

 

Event date: November 4, 2019 at New Register House (The Dome), 3 West Register Street, Edinburgh EH1 3YT

Published on 3 October 2019
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An introduction to using the UK Census Longitudinal Studies (UKcenLS)

6th November 2019, UCL Christopher Ingold Building, 20 Gordon Street, Kings Cross, London, WC1H 0AJ

UKcenLS team: Lee Williamson & Tom Clemens (SLS-DSU), Oliver Duke-Williams & Nicola Shelton (CeLSIUS)

This introductory training workshop session is designed to introduce people unfamiliar with the UK Census Longitudinal Studies (UKcenLS) and the unique social science that can be undertaken with microdata that tracks individuals over time, to the kinds of analyses that can be carried out using UKcenLS.

The session will provide a general introduction to the UKcenLS datasets: England and Wales ONS LS, Scotland LS (SLS) and Northern Ireland LS (NILS).

This introduction will be followed by an opportunity for delegates to have a hands-on session to:

• explore which variables are held by each LS in the data dictionary and use test data;

• have help completing an application to use LS data (main example from the SLS);

• meet Support Unit staff from CeLSIUS & the SLS-DSU to discuss the development of new research projects.

*Please bring your own laptop for the hands-on part of the session.*

No previous experience of microdata or statistical analysis techniques is required.

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

THIS EVENT IS FREE

*The SLS-DSU will be in contact with registered participants nearer the time of the event to to confirm preferred statistical packages.*

Event timings:  13:30-17:30

BOOKINGS VIA EVENTBRITE

Email: sls@lscs.ac.uk

 

Event date: November 6, 2019 at UCL Christopher Ingold Building, 20 Gordon Street, Kings Cross, London, WC1H 0AJ

Published on 3 October 2019
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An Introduction to Survival Analysis Training 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.

Course programme:

  • 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

Email: sls@lscs.ac.uk

 

Event date: November 7, 2019 at UCL Christopher Ingold Building, 20 Gordon Street, Kings Cross, London, WC1H 0AJ

Published on 3 October 2019
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TRAINING: Introduction to using administrative data for social and health research

Edinburgh, Monday 2 December – Thursday 5 December (with optional ONS Safe Researcher training on Friday 6 December)

Interested in using linked administrative data in your research but don’t know what data is out there, how to access it, or if you have the skills needed? If you are a social or health researcher with experience of analysing survey data, or if you already work with administrative data but want to analyse multiple datasets linked together, this course is for you.

The course (run jointly by the Scottish Centre for Administrative Data Research and the Scottish Longitudinal Study Development and Support Unit) will give an introduction to administrative data, describing what it is, as well as some of the particular problems in working with this type of data and how to deal with them. Theoretical sessions will be backed up by hands-on practical sessions: using R or Stata to write syntax to tidy, clean and recode data; link datasets; manipulate data; conduct data visualisation; identify data quality issues; and fit regression models. Scottish Longitudinal Study (SLS) synthetic data will be used in the practical exercise.

Course participants who expect to access data shortly can also elect to attend free ONS Safe Researcher Training on 6th December.

 

·         Cost: £350 for students, £500 for others.

·         Apply: To apply to attend, complete the application form by 6 November.

 

Further information and booking:

Visit the course page for details and to apply, or email scadr@ed.ac.uk with any queries.

https://www.scadr.ac.uk/

Event date: December 2 - December 5, 2019 at Edinburgh Training and Conference Venue, 16 St Mary’s Street, Edinburgh

Published on 11 September 2019
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