With apologies for cross-posting below are events which may be of interest involving the Scottish Longitudinal Study Development & Support Unit (SLS-DSU)
3 TRAINING EVENTS:
An Introduction to using the UK Census Longitudinal Studies (UKcenLS)
Wednesday 6th November, 13:30-17:30 - UCL Christopher Ingold Building, Room G20, 20 Gordon Street, Kings Cross, London WC1H 0AJ
Run by the UKcenLS team: CeLSIUS and the Scottish Longitudinal Study Development & Support Unit (SLS-DSU)
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 training data;
• have help completing an application to use LS data (main example SLS application form);
• 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, basic Stata or R skills are assumed (ie opening up files, running frequency tables, etc)
The event is open to all UK registered students, university staff and those working for government agencies or local authorities.
* Nearer the time, the SLS-DSU will email registered participants to confirm their preferred statistical package - Stata or R.*
Free Event
Bookings via Evenbrite: https://www.eventbrite.co.uk/e/an-introduction-to-using-the-uk-census-longitudinal-studies-ukcenls-registration-74264640539
Email: [log in to unmask]
An Introduction to Survival Analysis Training using the Scottish Longitudinal Study
Thursday 7th November, 09:30-17:00, UCL Christopher Ingold Building, 20 Gordon Street, Kings Cross, London WC1H 0AJ
Run by the Scottish Longitudinal Study Development & Support Unit (SLS-DSU)
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) 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 SLS training datasets. Presentations of real SLS 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
The event is open to all UK registered students, university staff and those working for government agencies or local authorities.
* Nearer the time, the SLS-DSU will email registered participants to confirm their preferred statistical package - Stata or R.*
Free Event
Bookings via Eventbrite: https://www.eventbrite.co.uk/e/an-introduction-to-survival-analysis-training-using-the-scottish-longitudinal-study-training-dataset-registration-74267477023
Email: [log in to unmask]
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:
https://www.scadr.ac.uk/news-and-events/training-four-day-introduction-using-administrative-data-social-and-health-research
Email [log in to unmask] with any queries.
ESRC FoSS EVENT
Population fact or fake news: You decide!
Monday 4th November, 14:00-16:00 - New Register House (The Dome), 3 West Register St, Edinburgh EH1 3YT
ESRC Festival of Social Science Event
Run by the Scottish Longitudinal Study Development & Support Unit (SLS-DSU)
In an age of fake news, can you tell population fact from fiction? Join social science experts from the Scottish Longitudinal Study (SLS) and test yourself with an interactive smartphone and tablet based quiz featuring real-time live results and interactive discussion. This event will be used to showcase the importance of accurate and rigorous statistical information (such as that from the SLS), which we can use to counter our own perceptions and biases.
Further info from: https://esrc.ukri.org/public-engagement/festival-of-social-science/festival-events/events-in-scotland/how-well-do-you-know-your-country/
Free Event
Bookings via Eventbrite https://www.eventbrite.co.uk/e/population-fact-or-fake-news-you-decide-registration-74260488119
Email: [log in to unmask]
########################################################################
To unsubscribe from the QUANT-GEOG list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=QUANT-GEOG&A=1
|
