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UK-GPRD 10% Random Sample

eagle-i ID

http://eagle-i.itmat.upenn.edu/i/00000140-7958-f641-da89-3b9280000000

Resource Type

  1. Database

Properties

  1. Resource Description
    "In addition to access to the entire GPRD™ database, there is also a file containing data from a 10% random sample of the GPRD™ data. This dataset was created for convenience and more efficient use of these data. Because of the large size of the GPRD™ 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 GPRD™ database to get the final study results. Of note, some studies may be possible to complete using only the 10% random sample."
  2. Additional Name
    UK-GPRD
  3. Contact
    Schinnar, Rita, M.P.A.
  4. Used by
    Automated Claims and Medical Record Databases (Penn)
  5. Data Input
    Practice file
  6. Data Input
    Additional Health Data file
  7. Data Input
    Therapy file
  8. Data Input
    Patient file
  9. Data Input
    Medical file
  10. Data Input
    Dosage file
  11. Related Publication or Documentation
    Absence of cross-reactivity between sulfonamide antibiotics and sulfonamide nonantibiotics
  12. Related Publication or Documentation
    Represcription of penicillin after allergic-like events
  13. Website(s)
    http://www.itmat.upenn.edu/10_UK_GPRD.shtml
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    fcoldren
  3. created
    2013-08-13T16:24:10.562-04:00
  4. creator
    fcoldren
  5. modified
    2014-08-18T09:44:48.668-04:00

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The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016