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UK-THIN 10% Random Sample

eagle-i ID


Resource Type

  1. Database


  1. Resource Description
    "In addition to access to the entire THIN database, there is also a file containing data from a 10% random sample of the THIN data. This dataset was created for convenience and more efficient use of these data. Because of the large size of the THIN database, investigators are encouraged to first do all the work using the 10% random sample file. Such tasks as developing the computer code to read the data and process the data, developing all study variables including recoded variables, developing the code for cohort selection and exclusion criteria, developing the code for getting frequency counts and other analyses should be tested using the data in the 10% random sample file. Once one is satisfied that the code correctly performs all these tasks in the smaller data file, this code can then be applied to the entire THIN database to get the final study results. Additionally, there is a 1% sample of the THIN database available for students registered for course # EPID 633 – Advanced Database Management for Clinical Research. The course uses THIN as an example of a secondary database to load and test queries to generate analytic files for analysis. This course is recommended for students wishing to learn more about the structure of the THIN database."
  2. Contact
    Schinnar, Rita, M.P.A.
  3. Manufacturer
    CSD Medical Research
  4. Used by
    Automated Claims and Medical Record Databases (Penn)
  5. Data Input
    Medical file
  6. Data Input
    Practice file
  7. Data Input
    Dosage file
  8. Data Input
    Therapy file
  9. Data Input
    Patient file
  10. Data Input
    Additional Health Data file
  11. Related Publication or Documentation
    Validation studies of the Health Improvement Network (THIN) database for pharmacoepidemiology research.
  12. Related Publication or Documentation
    Validation of The Health Improvement Network (THIN) database for epidemiologic studies of chronic kidney disease
  13. Website(s)
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Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016