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  1. hcup-us.ahrq.gov/reports/methods/2005_03_del_379.pdf
    January 01, 2005 - managed care patients and not just fee-for-service patients, it may be preferable to the MedPAR file for estimating … HCUP 2002 NIS (6/24/2005) 37 Deliverable #379: NIS Comparison Report, 2002 estimating ALOS and in-hospital
  2. hcup-us.ahrq.gov/db/nation/nis/reports/2001niscomparisonrpt.jsp
    November 01, 2015 - care patients and not just the fee-for-service discharges, it may be preferable to the MedPAR file for estimating … When estimating ALOS and in-hospital mortality for the nation, or within any major categories, the NIS
  3. hcup-us.ahrq.gov/db/nation/kid/reports/CalculatingKIDVariances.pdf
    December 16, 2005 - Has GEE (Generalized Estimating Equation) modeling capabilities for efficient parameter estimation.
  4. hcup-us.ahrq.gov/reports/methods/2003_02.jsp
    January 01, 2003 - Has GEE (Generalized Estimating Equation) modeling capabilities for efficient parameter estimation.
  5. hcup-us.ahrq.gov/reports/methods/2003_02.pdf
    January 01, 2003 - Has GEE (Generalized Estimating Equation) modeling capabilities for efficient parameter estimation.
  6. Summary (pdf file)

    hcup-us.ahrq.gov/reports/methods/KIDComp1997Final.pdf
    March 16, 2001 - Summary 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: hcup@ahrq.gov or Pho…
  7. Kid 1997 Comparison (pdf file)

    hcup-us.ahrq.gov/db/nation/kid/reports/KID_1997_Comparison.pdf
    January 01, 1997 - HCUP KIDS’ INPATIENT DATABASE COMPARATIVE ANALYSIS, 1997 HCUP KID ( 01/28/02) Comparative Analysis Table of Contents Summary ..............................................................................................................................................…
  8. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1993_Design_Report.jsp
    January 01, 1993 - These would be used to weight the sample data in estimating population statistics. … It consists of two main programs for estimating variances from complex survey designs.
  9. hcup-us.ahrq.gov/reports/methods/2006_9.pdf
    January 01, 2006 - managed care patients and not just fee-for-service patients, it may be preferable to the MedPAR file for estimating … When estimating ALOS and in-hospital mortality for the nation, or within any major categories, NIS
  10. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2012_Redesign_report.jsp
    January 01, 2012 - care hospitals Using observed SID discharge counts in place of estimated AHA discharge counts for estimating … LTAC hospitals Using observed SID discharge counts in place of estimated AHA discharge counts for estimating … without self-weighting requires weights for all estimates Self-weighting sample requires weights for estimating
  11. hcup-us.ahrq.gov/reports/methods/2005-07.pdf
    January 01, 2005 - Has GEE (Generalized Estimating Equation) modeling capabilities for efficient parameter estimation.
  12. hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS21993Final.pdf
    April 03, 1997 - C:\unzipped\Methods Series Reports to Convert\Comparison_Report_NIS2 1993.wpd 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 Technica…
  13. hcup-us.ahrq.gov/reports/RevisedMHSAHospitalFlowsAnalysis20100413.pdf
    April 13, 2010 - Adjustment is important because data for estimating MHSA spending are seldom available by state of residence
  14. hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS41995Final.pdf
    December 21, 1998 - C:\unzipped\Methods Series Reports to Convert\Comparison_Report_NIS4 1995.wpd 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 Technica…
  15. 2014-04 (pdf file)

    hcup-us.ahrq.gov/reports/methods/2014-04.pdf
    January 01, 2014 - Using observed SID discharge counts in place of estimated AHA discharge counts for estimating the total … Using observed SID discharge counts in place of estimated AHA discharge counts for estimating the total … without self-weighting requires weights for all estimates Self-weighting sample requires weights for estimating
  16. hcup-us.ahrq.gov/db/nation/nis/reports/NISRedesignFinalReport040914.pdf
    June 11, 2014 - Using observed SID discharge counts in place of estimated AHA discharge counts for estimating the total … Using observed SID discharge counts in place of estimated AHA discharge counts for estimating the total … without self-weighting requires weights for all estimates Self-weighting sample requires weights for estimating
  17. hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS61997Final.pdf
    August 09, 2000 - C:\unzipped\Methods Series Reports to Convert\Comparison_Report_NIS6 1997.wpd 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 Technica…
  18. hcup-us.ahrq.gov/db/nation/nrd/nrdchecklist.jsp
    November 01, 2024 - For information on estimating incidence and prevalence, review the HCUP Methods Series Report # 2016-
  19. hcup-us.ahrq.gov/tech_assist/nationalestimates/508_course/PNE_Example_Code_and_Output_UPDATED_071118.pdf
    August 20, 2018 - HCUP Online Tutorials 1 National Estimates HEALTHCARE COST AND UTILIZATION PROJECT Agency for Healthcare Research and Quality CODE: Count Records with DXCCS1=128 (Asthma) from 2014 NIS File (example 1) Title1 “Count Records with DXCCS1=128 (Asthma) from 2014 NIS”; Libname NIS2014 "C:\NIS\2014\…
  20. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1994_Design_Report.jsp
    January 01, 1994 - These would be used to weight the sample data in estimating population statistics. … It consists of two main programs for estimating variances from complex survey designs.

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