Introduction to Hospital Episode Statistics - 2018
This course will provide participants with an understanding of how Hospital Episode Statistics (HES) data are collected and coded, their structure, and how to clean and analyse HES data. A key focus will be on developing an understanding of the strengths and weaknesses of HES data, how inconsistencies arise, and approaches to deal with these. Participants will also learn how to ensure individuals’ anonymity and confidentiality when analysing and publishing using HES. The course consists of a mixture of lectures and practicals for which participants will use Stata software to clean and analyse HES data.
Researchers at all levels in academia, government and private sector at all levels who are using/planning to use Hospital Episode Statistics in their work.
Participants will write and execute programmes in Stata during the practical sessions. Previous experience of programming in Stata, R or SAS will therefore be helpful, but Stata code and instructions will be provided to all participants. There are no pre-requisites for the lectures.
Further course details can be found here.
More information regarding our courses can be found here.
Podcast for some of our previous courses can be found here.
5th March 2018 – 6th March 2018
Dr Pia Hardelid
This is a computer lab based training course.
The fee per day is:
Our courses are very popular and are often oversubscribed. If you cannot attend a course you have registered for, it is essential to kindly notify us a minimum of 30 days in advance so that your place can be released for another attendee. Details of our cancellation policy are here. Please see our full course list here.
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Course places are limited and registration by 26th February 2018 is strongly recommended.