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  1. hcup-us.ahrq.gov/db/nation/nis/corrections_2000.jsp
    January 01, 2000 - NIS Database Documentation - Corrections 2000 An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us Espanol FAQs E…
  2. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_6a.jsp
    January 01, 2005 - Exhibit 2.6. Diabetes Exhibit 2.6. Diabetes Hospital Stays and Discharge Prevalence for All-listed Diabetes by Patient Age, 2005 Patient Age Total Discharges Standard Errors Discharges per 100,000 Population All ages 6,516,500 143,465 2,198 <1 700 83 16 1-17 52,…
  3. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_4.jsp
    January 01, 2005 - Exhibit 1.4. Admission Source Exhibit 1.4. Admission Source Number and Distribution of Hospital Inpatient Stays by Admission Source, 2005 Admission Source Total Number of Discharges Percent Distribution Standard Errors All admission sources 39,163,800 100 765,017 Routine …
  4. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_6c.jsp
    January 01, 2005 - Exhibit 2.6. Diabetes Exhibit 2.6. Diabetes Hospital Stays and Discharge Prevalence for All-listed Diabetes Diagnoses by Median Income of Patients' ZIP Code,* 2005 Median Income of Zip Code Total Discharges Standard Errors Discharges per 100,000 Population All incomes 6,516,500 143,4…
  5. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_7.jsp
    January 01, 2005 - Exhibit 1.7. Expected Primary Payer Exhibit 1.7. Expected Primary Payer Number of Discharges and Percent Distribution by Expected Primary Payer, 2005 Primary Payer Number of Discharges Percent Distribution Standard Errors All Payers 39,163,800 100 765,017 Medicare 14,55…
  6. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2017.jsp
    January 01, 2017 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  7. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2014.jsp
    January 01, 2014 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  8. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2016.jsp
    January 01, 2016 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  9. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2018.jsp
    January 01, 2018 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  10. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2019.jsp
    January 01, 2019 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  11. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_5.jsp
    January 01, 2005 - Exhibit 1.5. Discharge Status Exhibit 1.5. Discharge Status Number and Distribution of Hospital Inpatient Stays by Discharge Status, 2005 Discharge Status Total Number of Discharges Percent Distribution Standard Errors All discharges* 39,163,800 100 765,017 Routine 28,971…
  12. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_5_1A.jsp
    January 01, 2005 - Exhibit 5.1. Uninsured Inpatient Hospital Stays: Admission Source and Discharge Status Exhibit 5.1. Uninsured Inpatient Hospital Stays: Admission Source and Discharge Status Share of Uninsured and Insured Stays Admitted through the Emergency Department, 2005 Admission Source and Discharge Status …
  13. hcup-us.ahrq.gov/db/nation/nis/NISIntroduction2019.pdf
    September 01, 2021 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … • The self-weighting design of the new NIS reduces the margin of error for estimates and delivers … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  14. hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_1997_SummaryStats_CORE.PDF
    January 01, 1997 - Kurtosis -0.8575983 Uncorrected SS 133592753 Corrected SS 85497649.6 Coeff Variation 133.32966 Std Error … Kurtosis 2182.23168 Uncorrected SS 212799467 Corrected SS 177588390 Coeff Variation 224.578275 Std Error … Kurtosis 876219.5 Uncorrected SS 1511961466 Corrected SS 1476106868 Coeff Variation 641.632838 Std Error … Kurtosis 3648.56504 Uncorrected SS 2.19332E15 Corrected SS 2.03082E15 Coeff Variation 353.513227 Std Error … Kurtosis 14026.8582 Uncorrected SS 3.39752E15 Corrected SS 3.23071E15 Coeff Variation 440.090166 Std Error
  15. hcup-us.ahrq.gov/reports/methods/2020-04.pdf
    January 01, 2020 - QI estimates were included in the NHQDR if they reached a threshold defined by a relative standard error … For population counts based on Claritas data, there is no sampling error. … Standard Error Estimates for Weighted Discharge Rates per 100,000 Population Using the 2017 Claritas … Consequently, the standard error of the rate R was calculated as: SER =100,000 * SES / N. … We multiplied this standard error by 1,000. 2.
  16. hcup-us.ahrq.gov/reports/methods/MS2023-01-NHQDRMethodsReport_508.pdf
    November 21, 2023 - Standard error calculations for the rates were based on the HCUP report entitled Inferences with HCUP … For population counts based on Claritas data, there is no sampling error. … Standard Error Estimates for Weighted Discharge Rates per 100,000 Population Using the 2017 Claritas … Consequently, the standard error of the rate R was calculated as: SER =100,000 * SES / N. … We multiplied this standard error by 1,000. 2.
  17. hcup-us.ahrq.gov/reports/methods/MS2022-01-NHQDRMethodsReport.pdf
    October 28, 2022 - Standard error calculations for the rates were based on the HCUP report entitled Inferences with HCUP … For population counts based on Claritas data, there is no sampling error. … Standard Error Estimates for Weighted Discharge Rates per 100,000 Population Using the 2017 Claritas … Consequently, the standard error of the rate R was calculated as: SER =100,000 * SES / N. … We multiplied this standard error by 1,000. 2.
  18. hcup-us.ahrq.gov/reports/methods/MS2021-03-NHQDRMethodsReport.pdf
    December 09, 2021 - QI estimates were included in the NHQDR if they reached a threshold defined by a relative standard error … For population counts based on Claritas data, there is no sampling error. … Standard Error Estimates for Weighted Discharge Rates per 100,000 Population Using the 2017 Claritas … Consequently, the standard error of the rate R was calculated as: SER =100,000 * SES / N. … We multiplied this standard error by 1,000. 2.
  19. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_7.jsp
    January 01, 2005 - Exhibit 2.7. Pressure Sores Exhibit 2.7. Pressure Sores Number of Discharges for Pressure Sores, 1993-2005 All-listed Diagnoses Number of Discharges Standard Errors Number of Discharges Principal Diagnosis Number of Discharges Principal Diagnosis 1993 281,600 35,800 9,595…
  20. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_8b.jsp
    January 01, 2005 - Exhibit 2.8. Alcoholism Exhibit 2.8. Alcoholism Number and Distribution of Discharges with a Principal Diagnosis of Alcoholism by Expected Payer, 2005 Expected Payer All Discharges Alcohol-related Disorder Discharges Number of discharges All payers 39,163,800 298,000 Medica…

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