Validation studies of the health improvement network (THIN) database for pharmacoepidemiology research
By James D. Lewis, R. Schinnar, W. Bilker, Xingmei Wang, Brian L. Strom. Pharmacoepidemiology and Drug Safety, 2007
623 citations recorded by the source corpus.
Subfields: Epidemiology, Statistics and Probability, Toxicology
View Paper: https://www.semanticscholar.org/paper/bf1692b2b08c6e121bc2d5b9f391cc390717b856
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In Epidemiology
In Statistics and Probability
- David Moher
- G. Danaei
- R. Logan
- L. A. García Rodríguez
- O. Cantero
- E. von Elm
- Miguel A. Hern'an
- I. Petersen
Citations in the corpus
- Observational data for comparative effectiveness research: an emulation of randomised trials to estimate the effect of statins on primary prevention of coronary heart disease (2011, methodology): “The information recorded in THIN has been used in many research projects, and has been shown to be of sufficient quality for epidemiologic research.(11,12) The subset of THIN that was available to us at the time of this study included information from January 2000 to December 2006.”
- The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement (2015, methodology): “Validation of identification methods has been increasingly emphasized as essential for studies using routinely collected health data, particularly for disease codes in studies using administrative data collected for billing purposes [33].”