THIN Database Research Team
The Health Improvement Network (THIN) database is a large UK primary care database. The THIN Database Research Team uses this database, containing data collected from over 550 general practitioners spread over the UK, for research into cardiovascular disease, mental health, pharmacoepidemiology and other fields of primary care research (see publications for more examples).
Photo: Stata programs for outlier identification in THIN.
News and Events
PUBLICATION: discontinuation of antipsychotics in pregnancy
Irene Petersen and colleagues have published a paper in Schizophrenia Research on the discontinuation of antipsychotic medication in pregnancy.
Published 09/09/2014 | Publications
SEMINAR: 3.30-5pm on Wednesday 17th September
At the next Primary Care Database User Group seminar on 17th September, Yonas Weldeselassie (Open University) will talk about some new developments in self controlled case series (SCCS) methodology, which is increasingly used in electronic health records research.
Published 08/09/2014 | Seminars
NEWS: Ruth Blackburn wins SAPC/NAPCRG travel award
Ruth Blackburn has been awarded the SAPC/NAPCRG travel award for her presentation on statin prescribing for cardiovascular disease prevention in people with severe mental illness at the Society for Academic Primary Care conference in Edinburgh. This will allow her to travel to New York to present at the North American Primary Care Research Group conference in November. Ruth's PhD work forms part of the PRIMROSE project.
BLOG POST: missing data in electronic health records
SHORT COURSES: short courses on primary care databases and missing data will run in November
We are running two short courses in November: one on primary care databases and one on missing data. For more information, and to request notification by email when registration opens, see our short courses page.
PUBLICATION: the twofold Stata command for imputing longitudinal clinical data
Cathy Welch and colleagues have published a paper in The Stata Journal describing the twofold Stata command, which uses the two-fold fully conditional specification (FCS) algorithm for imputing missing values in longitudinal databases. See also: our missing data in electronic health records page.
Published 04/07/2014 | Publications
PUBLICATION: serum uric acid and the risk of respiratory disease
Laura Horsfall and colleagues have published a paper in Thorax on the relationship between serum uric acid and the incidence of respiratory disease.
Published 09/06/2014 | Publications
Page last modified on 09 sep 14 15:18 by Rebecca K Lodwick