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  1. hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2020.jsp
    January 01, 2020 - After analyzing the availability of information from the HCUP Partner organizations, a set of common
  2. hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2019.jsp
    January 01, 2019 - After analyzing the availability of information from the HCUP Partner organizations, a set of common
  3. hcup-us.ahrq.gov/db/nation/nass/NASSIntroduction2021.pdf
    April 01, 2024 - toolssoftware/comorbidityicd10/comorbidity_icd10.jsp HCUP (3/15/2024) 10 2021 NASS Introduction After analyzing
  4. hcup-us.ahrq.gov/db/nation/nass/NASSIntroduction2022.pdf
    December 01, 2024 - After analyzing the availability of information from the HCUP Partner organizations, a set of common
  5. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2008.jsp
    January 01, 2008 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on hospitals
  6. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2007.jsp
    January 01, 2007 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on hospitals
  7. 2015 01 (pdf file)

    hcup-us.ahrq.gov/reports/methods/2015_01.pdf
    January 01, 2015 - Chapter 4 briefly reviews methods for analyzing missing data; it emphasizes multiple imputation, which
  8. hcup-us.ahrq.gov/db/nation/nis/2006NIS_INTRODUCTION.pdf
    November 01, 2015 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on
  9. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2009.jsp
    January 01, 2009 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on hospitals
  10. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2010.jsp
    January 01, 2010 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on hospitals
  11. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2011.jsp
    January 01, 2011 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on hospitals
  12. hcup-us.ahrq.gov/db/nation/nis/NIS_2008_INTRODUCTION.pdf
    January 01, 2008 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on
  13. hcup-us.ahrq.gov/db/nation/nis/NIS_2007_INTRODUCTION.pdf
    January 01, 2007 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on
  14. hcup-us.ahrq.gov/reports/methods/2004CCSUserGuideFinal.pdf
    September 01, 2004 - Purpose CCS categories can be employed in many types of projects analyzing data on diagnoses and
  15. hcup-us.ahrq.gov/db/nation/kid/KID_2012_Introduction.pdf
    January 01, 2012 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on
  16. hcup-us.ahrq.gov/db/nation/kid/kid_2012_introduction.jsp
    January 01, 1998 - HCUPnet is a Web-based query tool for identifying, tracking, analyzing, and comparing statistics on hospitals
  17. hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2018.jsp
    January 01, 2018 - After analyzing the availability of information from the HCUP Partner organizations, a set of common
  18. hcup-us.ahrq.gov/reports/methods/2003_05.pdf
    January 01, 2003 - HCUP_methods_series_cover.ai HCUP Methods Series kbr33831 Contact Information: Healthcare Cost and Utilization Project (HCUP) Agency for Healthcare Research and Quality 540 Gaither Road Rockville, MD 20850 http://www.hcup-us.ahrq.gov For Technical Assistance with HCUP Products: Email: hcu…
  19. hcup-us.ahrq.gov/reports/statbriefs/sb234-Adverse-Drug-Events.jsp
    January 01, 2018 - Adverse Drug Events in U.S. Hospitals, 2010 Versus 2014 #234 An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol …
  20. (pdf file)

    hcup-us.ahrq.gov/datainnovations/clinicaldata/Finalreport100109.pdf
    October 01, 2009 - Both organizations have been analyzing clinical performance using claims and clinical data for more

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