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  1. Microsoft Word - CaseforPOAIndicator_final_060806 _2_.doc (pdf file)

    hcup-us.ahrq.gov/reports/methods/2007_02.pdf
    January 01, 2007 - KID and NHDS Trends in Mean Length of Stay for Selected Principal Diagnoses Mean LOS Standard Error … analyst might have to normalize the weights to sum to the sample size and provide better estimates of error … Hierarchical models account separately for the discharge-level error, the hospital-level error, and

  2. Characteristics of Adverse Drug Events Originating During the Hospital Stay, 2011 #164

    hcup-us.ahrq.gov/reports/statbriefs/sb164.jsp
    October 01, 2013 - As a result, there is no sampling error associated with the calculated values presented, and significance

  3. Section5 (pdf file)

    hcup-us.ahrq.gov/reports/factsandfigures/2007/pdfs/section5.pdf
    January 01, 2007 - †Statistics based on estimates with a relative standard error (standard error / weighted estimate) greater … than 0.30 or with standard error = 0 in the nationwide statistics are not reliable.

  4. THE HCUP NATIONWIDE AMBULATORY SURGERY SAMPLE (NASS) 2017

    hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2017.jsp
    January 01, 2017 - built-in zip utility in Windows® (Windows Explorer) or Macintosh® (Archive Utility) will produce an error … Unbiased estimates of error variance then are obtained by comparing the actual values to the predicted

  5. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)

    hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2016.pdf
    January 01, 2016 - built-in zip utility in Windows® (Windows Explorer) or Macintosh® (Archive Utility) will produce an error … Unbiased estimates of error variance then are obtained by comparing the actual values to the predicted

  6. THE HCUP NATIONWIDE AMBULATORY SURGERY SAMPLE (NASS) 2016

    hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2016.jsp
    January 01, 2016 - built-in zip utility in Windows® (Windows Explorer) or Macintosh® (Archive Utility) will produce an error … Unbiased estimates of error variance then are obtained by comparing the actual values to the predicted

  7. Exhibit 2.1. Most Frequent Principal Diagnoses

    hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_1.jsp
    January 01, 2005 - Exhibit 2.1. Most Frequent Principal Diagnoses Exhibit 2.1. Most Frequent Principal Diagnoses Number of Discharges, Percent Distribution, and Rank of Most Frequent Principal Diagnoses for Inpatient Hospital Stays, 1997, 2004, 2005 Principal Diagnosis CCS Condition Category and Name Number of Disch…

  8. Linking Maternal and Child Health Data to Create (pdf file)

    hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/fl9.pdf
    April 06, 2011 - Linking Maternal and Child Health Data to Create Hamisu Salihu, Ph.D., Principal Investigator University of South Florida College of Public Health R01 HS19997‐01 9/30/2010 – 9/29/2013 (3 years) Linking Maternal and Child Health Data to Create  a Comprehensive Longitudinal Dataset: The Florida Experience April 6, 20…

  9. Microsoft PowerPoint - 2011-0407 AHRQ Meeting - Florida Data Linkage.pptx (pdf file)

    hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/fl9.pdf
    April 06, 2011 - Microsoft PowerPoint - 2011-0407 AHRQ Meeting - Florida Data Linkage.pptx Hamisu Salihu, Ph.D., Principal Investigator University of South Florida College of Public Health R01 HS19997‐01 9/30/2010 – 9/29/2013 (3 years) Linking Maternal and Child Health Data to Create  a Comprehensive Longitudinal Dataset: The Florid…

  10. ___APS-Def_Public.book (pdf file)

    hcup-us.ahrq.gov/db/nation/nis/APS-DRGsDefManualV25Public.pdf
    June 01, 2009 - Neonatal Transfer, LOS > 4 Days Table 3-7: BIRTHWEIGHT VALUE BIRTHWEIGHT CATEGORY < 100 Grams 9 (Error … 1,000 - 2,499 Grams 1 (1,000 - 2,499 Grams) 2,500 - 9,000 Grams 0 (> 2,499 Grams) > 9,000 Grams 9 (Error … 76419, 76429, 76499, 76509, 76519 0 (> 2,499 Grams) 76400, 76410, 76420, 76490, 76500, 76510 9 (Error … Has a birthweight category of “9” (Error) been assigned in either Step 8 or Step 9? … < 2 days Illogical PDX Invalid Discharge Status or LOS Died LOS Transferred LOS Birthweight Error

  11. Nis 2013 Maskedstats Core Weighted (pdf file)

    hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2013_MaskedStats_Core_Weighted.PDF
    January 01, 2013 - Observations 7119563 Sum of Weights 35597792 Statistics Variable Label N N Miss Minimum Maximum Mean Std Error … 2 Means of Continuous Data Elements Statistics Variable Label N N Miss Minimum Maximum Mean Std Error … 3 Means of Continuous Data Elements Statistics Variable Label N N Miss Minimum Maximum Mean Std Error … 4 Means of Continuous Data Elements Statistics Variable Label N N Miss Minimum Maximum Mean Std Error … 5 Means of Continuous Data Elements Statistics Variable Label N N Miss Minimum Maximum Mean Std Error

  12. Racial Misclassification and Disparities in Mortality among AI/AN and Other Races, Washington (pdf file)

    hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or26.pdf
    June 01, 2012 - Racial Misclassification and Disparities in Mortality among AI/AN and Other Races, Washington Racial misclassification and disparities in mortality among American Indians/Alaska Natives and other races, Washington Authors: Jenine Dankovchik, BSc1 (presenter); Megan Hoopes, MPH1; David L. Nordstrom, PhD,2; Eliz…

  13. ___APS-Def_Public.book (pdf file)

    hcup-us.ahrq.gov/db/nation/nis/APS-DRGs%20V22%20Definitions%20Manual.pdf
    April 01, 2006 - However, if you should find any error, please notify an HSS customer service representative. … Neonatal Transfer, LOS > 4 Days Table 3-7: BIRTHWEIGHT VALUE BIRTHWEIGHT CATEGORY < 100 Grams 9 (Error … Has a birthweight category of “9” (Error) been assigned in either Step 8 or 9? … Go to Step 17. 2,500 - 9,000 Grams 2 (> 2,499 Grams) > 9,000 Grams 9 (Error) Table 3-8: DIAGNOSIS … 76419, 76429,76499, 76509, 76519 2 (> 2,499 Grams) 76400, 76410, 76420, 76490, 76500, 76510 9 (Error

  14. Maskedstats Nrd 2017 Core Weighted (pdf file)

    hcup-us.ahrq.gov/db/nation/nrd/stats/MaskedStats_NRD_2017_Core_Weighted.PDF
    January 01, 2017 - Observations 17978754 Sum of Weights 35790513 Statistics Variable Label N N Miss Minimum Maximum Mean Std Error … 2 Means of Continuous Data Elements Statistics Variable Label N N Miss Minimum Maximum Mean Std Error … 3 Means of Continuous Data Elements Statistics Variable Label N N Miss Minimum Maximum Mean Std Error … 4 Means of Continuous Data Elements Statistics Variable Label N N Miss Minimum Maximum Mean Std Error … 5 Means of Continuous Data Elements Statistics Variable Label N N Miss Minimum Maximum Mean Std Error

  15. HCUP Nationwide Inpatient Sample Design Report 1995

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1995_Design_Report.jsp
    January 01, 1995 - Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted

  16. HCUP Nationwide Inpatient Sample Design Report 1992-1988

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1992_1988_Design_Report.jsp
    January 01, 1992 - Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted

  17. HCUP Nationwide Inpatient Sample Design Report 1996

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1996_Design_Report.jsp
    January 01, 1996 - Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted

  18. C:\HCUP\NIS_1997_Design_Report.wpd (pdf file)

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1997_Design_Report.pdf
    January 01, 1997 - Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted

  19. HCUP Nationwide Inpatient Sample Design Report 1994

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1994_Design_Report.jsp
    January 01, 1994 - Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted

  20. HCUP Nationwide Inpatient Sample Design Report 1997

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1997_Design_Report.jsp
    January 01, 1997 - Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
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