Introduction to ECHILD: Linked data from health, education and children’s social care (join a waiting list)
Date:
25/03/2024 - 26/03/2024
Organised by:
NCRM University of Southampton, Child Health Informatics Group and Administrative Data Research UK
Presenter:
Dr Ruth Blackburn, Prof Katie Harron, Dr Matt Jay, Dr Farzan Ramzan, Dr Ania Zylbersztejn, Dr Vincent Ngyun, Dr Linda Wijlaars, Dr Qi Feng, Dr Louise McGrath Lone, Tony Stone, and Dr Kate Lewis.
Level:
Intermediate (some prior knowledge)
Contact:
Jacqui Thorp
Training and Capacity Building Coordinator, National Centre for Research Methods, University of Southampton
Email: jmh6@soton.ac.uk
Map:
View in Google Maps (WC1H 0EG)
Venue:
University College London, Bentham House, Room 221, 4-8 Endsleigh Gardens, London
Description:
This short course is designed to give participants a practical introduction to ECHILD (Educational and Child Health Insights from Linked Data). ECHILD is a collection of linked, longitudinal administrative datasets covering health, education and children’s social care. More information about the data can be found in the ECHILD User Guide. The course is aimed at both analysts intending to use ECHILD and researchers who want to understand more about how the data can be used for policy relevant research. This course includes a mixture of lectures and practical sessions that will enable participants to put theory into practice.
Day 1 will provide information on the strengths and limitations of the different component datasets of ECHILD, through case studies of the National Pupil Database, Hospital Episode Statistics, Maternity Services Data, Mental Health Services Data, and the Community Services Dataset. Interactive lectures / tutorials will teach participants how to design a research study to answer a specific research question in ECHILD, focusing on the power and complexity of working with linked datasets. We will also discuss how to extract ECHILD data from SQL tables on the ONS Secure Research Service platform.
Day 2 will include a series of practical sessions allowing participants to progress through an exemplar research study using ECHILD, covering phenotyping, developing cohorts, and analysing ECHILD cohort data.
The course covers:
Overview of the component datasets of ECHILD
Accessing the data on the ONS SRS
Strengths and limitations of ECHILD
Development of electronic cohorts in ECHILD
Phenotyping in ECHILD
Analysing ECHILD data
By the end of the course participants will:
- Understand what data are available in ECHILD
- Know how to access ECHILD data
- Understand the strengths and limitations of ECHILD
- Know how to developing electronic cohorts in ECHILD
The course is aimed at analysts and researchers who would like to know more about ECHILD and how ECHILD could be used in their own research, or who would like to know how it is currently being used to generate policy-relevant research.
Participants should have a basic understanding of epidemiological research methods and statistical analysis. They should be comfortable in using R or Stata. Experience using administrative data is not required but would be an advantage.
Participants should bring their own laptop and should have access to Stata or R for the practical sessions.
The course will take place from 09:00-17:00 on both days.
Cost:
The fee per teaching day is: • £35 per day for registered students. • £75 per day for staff at academic institutions, Research Council researchers, public sector staff, staff at registered charity organisations and recognised research institutions. • £250 per day for all other participants All fees include event materials, refreshments and lunch. Fees do not include travel and accommodation costs. In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration:
Region:
Greater London
Keywords:
Quantitative Data Handling and Data Analysis, Longitudinal Data Analysis, Use of Administrative Data Sources, Data Quality and Data Management, Quality in Quantitative Research, Longitudinal Research, Interdisciplinary and Multidisciplinary Research
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Longitudinal Data Analysis