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  1. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_5b.jsp
    January 01, 2005 - Exhibit 2.5 Circulatory Conditions Exhibit 2.5 Circulatory Conditions Discharges per 100,000 Population for Principal Diagnoses of Circulatory Conditions by Sex,* Ordered by the Prevalence of Male Discharges per 100,000 Population, 2005 Principal Diagnosis CCS Condition Category and Name Male F…
  2. hcup-us.ahrq.gov/reports/statbriefs/sb88.pdf
    March 01, 2010 - 37,800 2.2% 39,100 1.7% 963,900 2.4% * 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
  3. hcup-us.ahrq.gov/db/nation/nis/NISIntroduction2022.pdf
    November 01, 2024 - • 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. … As such, there may be some measurement error in the identification of cases. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  4. 2015 01 (pdf file)

    hcup-us.ahrq.gov/reports/methods/2015_01.pdf
    January 01, 2015 - s Rules, the M estimates are pooled to form a single estimate for each parameter and its standard error … The idea is to estimate the regression coefficients and the error variance for a regression model. … The errors are assumed to be normally distributed so that the regression coefficients and the error … The standard error estimated from the imputed data was $226, which was $37 less than the estimate of … Pooled std error Original p-value Pooled p-value Intercept 8.688 8.668 0.3852 0.3819 <
  5. hcup-us.ahrq.gov/db/nation/nis/tools/stats/MaskedStats_NIS_2020_Core_Weighted_V2.PDF
    January 01, 2020 - 1, 2022 2 Means of Continuous Data Elements Statistics Variable Label N Minimum Maximum Mean Std Error … File 20:35 Thursday, December 1, 2022 3 Means of Continuous Data Elements Statistics Variable Std Error … 1, 2022 4 Means of Continuous Data Elements Statistics Variable Label N Minimum Maximum Mean Std Error … File 20:35 Thursday, December 1, 2022 5 Means of Continuous Data Elements Statistics Variable Std Error … 1, 2022 6 Means of Continuous Data Elements Statistics Variable Label N Minimum Maximum Mean Std Error
  6. 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 Email…
  7. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2020.jsp
    January 01, 2020 - 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/reports/factsandfigures/figures/2005/2005_2_6b.jsp
    January 01, 2005 - Exhibit 2.6. Diabetes Exhibit 2.6. Diabetes Hospital Stays and Discharge Prevalence for All-listed Diabetes by Region, 2005 Hospital Region Total Discharges Standard Errors Discharges per 100,000 Population All regions 6,516,500 143,465 2,198 Northeast 1,300,400 63,008 …
  9. hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/hi6.pdf
    October 12, 2011 - Exceptions CX Extended Composite Id with Check digit DT Date DTM Date/Time EI Entity Identifier ERL Error … HHIC shall not raise an error due to the presence of a required element, but may raise an error due … in the element, but shall be able to successfully process the message if the element is omitted (no error … However, HHIC will not generate an application error if it receives the element.
  10. 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,…
  11. 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 …
  12. hcup-us.ahrq.gov/reports//methods/2014-02.pdf
    January 01, 2014 - For population counts based on Census data, there is no sampling error. … Step-By-Step Example Consider the following example of calculating a population-based rate and standard error … There is no error associated with the Census population count. … For this example, call the population count "ADULT_US_POP" Step 4: Calculate rate and standard error … Calculate the population-based rate per 100,000 population and the standard error of the rate as follows
  13. hcup-us.ahrq.gov/reports/methods/2018-03.pdf
    January 01, 2018 - For population counts based on Census data, there is no sampling error. … Step-By-Step Example Consider the following example of calculating a population-based rate and standard error … There is no error associated with the Census population count. … For this example, call the population count "ADULT_US_POP" Step 4: Calculate rate and standard error … Calculate the population-based rate per 100,000 population and the standard error of the rate as follows
  14. hcup-us.ahrq.gov/reports/methods/2014-02.pdf
    January 01, 2014 - For population counts based on Census data, there is no sampling error. … Step-By-Step Example Consider the following example of calculating a population-based rate and standard error … There is no error associated with the Census population count. … For this example, call the population count "ADULT_US_POP" Step 4: Calculate rate and standard error … Calculate the population-based rate per 100,000 population and the standard error of the rate as follows
  15. hcup-us.ahrq.gov/reports/methods/2017-04.pdf
    January 01, 2017 - For population counts based on Census data, there is no sampling error. … Step-By-Step Example Consider the following example of calculating a population-based rate and standard error … There is no error associated with the Census population count. … For this example, call the population count "ADULT_US_POP" Step 4: Calculate rate and standard error … Calculate the population-based rate per 100,000 population and the standard error of the rate as follows
  16. hcup-us.ahrq.gov/reports/methods/2013_01.pdf
    January 01, 2013 - For population counts based on Census data, there is no sampling error. … Step-By-Step Example Consider the following example of calculating a population-based rate and standard error … There is no error associated with the Census population count. … For this example, call the population count "ADULT_US_POP" Step 4: Calculate rate and standard error … Calculate the population-based rate per 100,000 population and the standard error of the rate as follows
  17. MS-2019-02 (pdf file)

    hcup-us.ahrq.gov/reports/methods/2019-02.pdf
    January 01, 2019 - For population counts based on Census data, there is no sampling error. … Step-By-Step Example Consider the following example of calculating a population-based rate and standard error … There is no error associated with the Census population count. … For this example, call the population count "ADULT_US_POP" Step 4: Calculate rate and standard error … Calculate the population-based rate per 100,000 population and the standard error of the rate as follows
  18. hcup-us.ahrq.gov/reports/methods/2016-04.pdf
    January 01, 2016 - For population counts based on Census data, there is no sampling error. … Step-By-Step Example Consider the following example of calculating a population-based rate and standard error … There is no error associated with the Census population count. … For this example, call the population count "ADULT_US_POP" Step 4: Calculate rate and standard error … Calculate the population-based rate per 100,000 population and the standard error of the rate as follows
  19. hcup-us.ahrq.gov/reports/methods/2015-07.pdf
    January 01, 2015 - For population counts based on Census data, there is no sampling error. … Step-By-Step Example Consider the following example of calculating a population-based rate and standard error … There is no error associated with the Census population count. … For this example, call the population count "ADULT_US_POP" Step 4: Calculate rate and standard error … Calculate the population-based rate per 100,000 population and the standard error of the rate as follows
  20. hcup-us.ahrq.gov/db/nation/nrd/stats/MaskedStats_NRD_2015_Core_Weighted.PDF
    January 01, 2015 - Observations 17198125 Sum of Weights 35673252 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

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