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  1. hcup-us.ahrq.gov/reports/methods/2006_05_NISTrendsReport_1988-2004A.pdf
    January 01, 2006 - However, estimates of standard errors will likely be too small, which could lead to incorrect inferences … Doing so increases the estimated standard errors by about 10 percent, but it allows the results to be … However, the survey procedures (SURVEYREG and REGRESS) produced quite different standard errors and … The SUDAAN procedure REGRESS tended to generate slightly higher standard errors than SAS SURVEYREG … Errors REG 0.299 0.014 0.005 0.386 0.013 0.017 0.006 0.017 0.115 0.411 0.477 0.148 0.526 0.606 REG
  2. hcup-us.ahrq.gov/reports/methods/2012_01.pdf
    January 01, 2012 - Calculating Standard Errors for Population-Based rates From HCUP Data ............ 1  Step-By-Step Example … CALCULATING STANDARD ERRORS FOR POPULATION-BASED RATES FROM HCUP DATA When calculating population-based … rates using HCUP data as the numerator and Census population data as the denominator, standard errors … Sample (NIS), Kids’ Inpatient Sample, and Nationwide Emergency Department Sample (NEDS) – the standard errors … The method for calculating standard errors takes into account the cluster and stratification aspects
  3. hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1998_Design_Report.pdf
    January 01, 1998 - statistical analysis programs have been developed that specifically calculate statistics and their standard errors … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals can then be calculated from the validation data. … is that the two subsamples may be used to validate models and obtain unbiased estimates of standard errors
  4. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or26.jsp
    August 01, 2014 - Errors may be compounded when systems interact; for example, cancer & other disease registries often … own report AI/ANs misclassified more frequently than other races/ethnicities Misclassification errors … who appear in both Names, birthdates, SSN, etc. are compared Probabilistic linkage - allow for errors
  5. hcup-us.ahrq.gov/reports/statbriefs/sb97.pdf
    October 01, 2010 - This is not desirable because these high charges could reflect measurement errors that distort the … 1st percentile of the distribution of TOTCHG_X. 2 Suspicious charges are potential data entry errors … Suspiciously high charges Suspicious charges are potential data entry errors and represent discharges
  6. hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_2016_MaskedStats_Hospital.PDF
    January 01, 2016 - please refer to the section on Description of Data Elements. For more information about the coding of HCUP data elements, HCUP Summary Statistics Report: KID 2016 - Hospital File 14:52 Thursday, July 19, 2018 1 Means of Continuous Data Elements please refer to the section on Description of Data Elements. For more i…
  7. hcup-us.ahrq.gov/reports/statbriefs/sb23.pdf
    January 01, 2007 - 11,051 (1,056) -7.8 Uninsured 10,173 (1,142) 9,365 (672) -7.9 Note: Standard errors … 121,055 (11,609) 804% 4.99 (0.21) 3.07 (0.08) 0.89 (0.20) 0.19 (0.03) Note: Standard errors
  8. hcup-us.ahrq.gov/reports/statbriefs/sb29.jsp
    April 01, 2007 - Preventing Medication Errors , National Academy Press, Washington, DC, 2006. 2 HCUP Cost-to-Charge
  9. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or19.pdf
    June 16, 2014 - matching • Recommended over traditional deterministic (exact matching) methods when: – coding errors
  10. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or34.pdf
    October 11, 2013 - based on identifiers (name, birthdate, SSN, date of death)  Probabilistic linkage – allow for errors
  11. hcup-us.ahrq.gov/db/nation/nis/tools/stats/MaskedStats_NIS_2022_Hospital.PDF
    January 01, 2022 - please refer to the section on Description of Data Elements. For more information about the coding of HCUP data elements, HCUP Summary Statistics Report: NIS 2022 Hospital File 19:37 Wednesday, September 25, 2024 1 Means of Continuous Data Elements Variable / Label N Minimum Maximum Mean Median Sum DISCWT : NIS di…
  12. hcup-us.ahrq.gov/db/nation/nis/tools/stats/MaskedStats_NIS_2021_Hospital.PDF
    January 01, 2021 - please refer to the section on Description of Data Elements. For more information about the coding of HCUP data elements, HCUP Summary Statistics Report: NIS 2021 Hospital File 17:50 Thursday, December 28, 2023 1 Means of Continuous Data Elements Variable / Label N Minimum Maximum Mean Median Sum DISCWT : NIS disc…
  13. hcup-us.ahrq.gov/db/nation/nis/tools/stats/MaskedStats_NIS_2020_Hospital_V2.PDF
    January 01, 2020 - please refer to the section on Description of Data Elements. For more information about the coding of HCUP data elements, HCUP Summary Statistics Report: NIS 2020 Hospital File 20:35 Thursday, December 1, 2022 1 Means of Continuous Data Elements Variable / Label N Minimum Maximum Mean Median Sum DISCWT : NIS disch…
  14. hcup-us.ahrq.gov/db/nation/kid/kid_2012_introduction.jsp
    January 01, 1998 - The Calculating Standard Errors tutorial shows how to accurately determine the precision of the estimates … Users will learn two methods for calculating standard errors for estimates produced from the HCUP national … Proper statistical techniques must be used to calculate standard errors and confidence intervals when … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals can then be calculated from the validation data.
  15. hcup-us.ahrq.gov/db/nation/kid/kid_2019_introduction.jsp
    January 01, 2012 - (Archive Utility) will produce an error message warning of incorrect password and/or file or folder errors … The Calculating Standard Errors tutorial shows how to accurately determine the precision of the estimates … Users will learn two methods for calculating standard errors for estimates produced from the HCUP national … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals can then be calculated from the validation data.
  16. hcup-us.ahrq.gov/db/nation/kid/kid_2016_introduction.jsp
    January 01, 2016 - (Archive Utility) will produce an error message warning of incorrect password and/or file or folder errors … Users will learn two methods for calculating standard errors for estimates produced from the HCUP national … Proper statistical techniques must be used to calculate standard errors and confidence intervals when … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals can then be calculated from the validation data.
  17. hcup-us.ahrq.gov/db/nation/neds/stats/NEDS_2015_Hospital_MaskedStats.PDF
    January 01, 2015 - please refer to the section on Description of Data Elements. For more information about the coding of HCUP data elements, HCUP Summary Statistics Report: NEDS 2015 Hospital File Means of Continuous Data Elements please refer to the section on Description of Data Elements. For more information about the coding of HCU…
  18. hcup-us.ahrq.gov/db/nation/neds/stats/NEDS_2016_Hospital_MaskedStats.PDF
    January 01, 2016 - please refer to the section on Description of Data Elements. For more information about the coding of HCUP data elements, HCUP Summary Statistics Report: NEDS 2016 Hospital File Means of Continuous Data Elements please refer to the section on Description of Data Elements. For more information about the coding of HCU…
  19. hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_2012_MaskedStats_Hospital.PDF
    January 01, 2012 - please refer to the section on Description of Data Elements. For more information about the coding of HCUP data elements, HCUP Summary Statistics Report: KID 2012 - Hospital File 16:07 Wednesday, July 16, 2014 1 Means of Continuous Data Elements please refer to the section on Description of Data Elements. For more …
  20. 2015 01 (pdf file)

    hcup-us.ahrq.gov/reports/methods/2015_01.pdf
    January 01, 2015 - benefit that it is often easier than likelihood-based methods to obtain good estimates of standard errors … does not allow for the uncertainty associated with that one value when one is calculating standard errors … The errors are assumed to be normally distributed so that the regression coefficients and the error … Table 9 compares the coefficients, standard errors, and p-values between the original estimates and … If the imputed values are clearly “wrong,” then look for errors in your code or consider using another

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