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Showing results for "standard".

  1. hcup-us.ahrq.gov/reports/statbriefs/sb261-Most-Expensive-Hospital-Conditions-2017.pdf
    January 01, 2017 - 1 July 2020 National Inpatient Hospital Costs: The Most Expensive Conditions by Payer, 2017 Lan Liang, Ph.D., Brian Moore, Ph.D., and Anita Soni, Ph.D. Introduction Healthcare spending in the United States increased 4.2 percent between 2016 and 2017 to $3.5 trillion, or $10,739 per person…
  2. hcup-us.ahrq.gov/db/nation/neds/NEDS2018Introduction.pdf
    November 01, 2020 - • The Calculating Standard Errors tutorial shows how to accurately determine the precision of the … Users will learn two methods for calculating standard errors for estimates produced from the HCUP nationwide … Because the NEDS is a stratified sample, proper statistical techniques must be used to calculate standard … In addition to these subroutines, standard errors can be estimated by validation and cross- validation … Standard errors and confidence intervals then can be calculated from the validation data.
  3. hcup-us.ahrq.gov/db/nation/nis/NISIntroduction2019.pdf
    September 01, 2021 - • The Calculating Standard Errors tutorial shows how to accurately determine the precision of … • Because the NIS is a stratified sample, proper statistical techniques must be used to calculate standardStandard formulas for a stratified, single- stage cluster sample without replacement should still be … Standard errors and confidence intervals can then be calculated from the validation data. … • It is straightforward to estimate accurate confidence intervals using standard statistical software
  4. hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2020.jsp
    January 01, 2020 - 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 nationwide … Standard formulas for a stratified, single-stage cluster sample without replacement could be used to … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals then can be calculated from the validation data.
  5. hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2020.jsp
    January 01, 2020 - 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 nationwide … Because the NEDS is a stratified sample, proper statistical techniques must be used to calculate standard … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals then can be calculated from the validation data.
  6. hcup-us.ahrq.gov/db/nation/nass/2020_NASS_Introduction.pdf
    January 01, 2020 - • The Calculating Standard Errors tutorial shows how to accurately determine the precision of the … Users will learn two methods for calculating standard errors for estimates produced from the HCUP nationwide … Standard formulas for a stratified, single-stage cluster sample without replacement could be used to … In addition to these subroutines, standard errors can be estimated by validation and cross- validation … Standard errors and confidence intervals then can be calculated from the validation data.
  7. hcup-us.ahrq.gov/db/nation/neds/NEDS2020Introduction.pdf
    September 01, 2022 - • The Calculating Standard Errors tutorial shows how to accurately determine the precision of the … Users will learn two methods for calculating standard errors for estimates produced from the HCUP nationwide … Because the NEDS is a stratified sample, proper statistical techniques must be used to calculate standard … In addition to these subroutines, standard errors can be estimated by validation and cross- validation … Standard errors and confidence intervals then can be calculated from the validation data.
  8. hcup-us.ahrq.gov/reports/methods/2008_04.pdf
    January 01, 2008 - replacement) and 1.41 (755: Adjustment disorder excluding depressive diagnosis), with a mean of 1.02 and a standard … ranged between 0.80 (203: Osteoarthritis) and 1.40 (71: Other psychoses), with a mean of 1.02 and a standard … replacement) and 1.41 (755: Adjustment disorder excluding depressive diagnosis), with a mean of 1.02 and a standard … ranged between 0.80 (203: Osteoarthritis) and 1.40 (71: Other psychoses), with a mean of 1.02 and a standard … 0.85 0.76 0.71 0.76 max 1.41 1.67 1.54 1.71 1.77 1.18 1.61 mean 1.02 1.03 1.03 1.02 1.04 1.00 1.04 standard
  9. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or32.jsp
    October 08, 2012 - race data for service-based analyses Slide 20 Limitations Our selection of AI/AN cases not standard
  10. hcup-us.ahrq.gov/team/StateDUA.pdf
    May 31, 2025 - HCUP State Data Use Agreement Data Use Agreement for HCUP State Databases 1 DATA USE AGREEMENT for the State Databases from the Healthcare Cost and Utilization Project Agency for Healthcare Research and Quality 8/20/2023 This Data Use Agreement (“Agreement”) governs the disclosure and use of data in the HCUP St…
  11. hcup-us.ahrq.gov/reports/methods/2004_6_appendix_D.pdf
    January 01, 2004 - If the sample size was at least 60 records, then the estimate was reported only if the relative standard … If the sample size was at least 60 records, then the estimate was reported only if the relative standard … If the sample size was at least 60 records, then the estimate was reported only if the relative standard … If the sample size was at least 60 records, then the estimate was reported only if the relative standard … For the NHAMCS, estimates that did not meet standard of reliability or precision were surpressed.
  12. hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2018.jsp
    January 01, 2018 - 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 nationwide … Standard formulas for a stratified, single-stage cluster sample without replacement could be used to … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals then can be calculated from the validation data.
  13. hcup-us.ahrq.gov/db/nation/kid/tools/stats/FileSpecifications_KID_2000_CORE.TXT
    January 01, 2000 - estimates KID 2000 CORE 13 DISPUB92 52 53 Num Disposition of patient (UB-92 standard
  14. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2000_CORE_10B.TXT
    January 01, 2000 - estimates NIS 2000 10PCT_SAMPLE_B 12 DISPUB92 54 55 Num Disposition of patient (UB-92 standard
  15. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2000_CORE_10A.TXT
    January 01, 2000 - estimates NIS 2000 10PCT_SAMPLE_A 12 DISPUB92 54 55 Num Disposition of patient (UB-92 standard
  16. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1999_CORE.TXT
    January 01, 1999 - AHA Universe NIS 1999 CORE 11 DISPUB92 44 45 Num Disposition of patient (UB-92 standard
  17. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1999_CORE10A.TXT
    January 01, 1999 - AHA universe NIS 1999 CORE10A 11 DISPUB92 44 45 Num Disposition of patient (UB-92 standard
  18. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1998_CORE.TXT
    January 01, 1998 - AHA Universe NIS 1998 CORE 11 DISPUB92 44 45 Num Disposition of patient (UB-92 standard
  19. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1998_CORE10Av2.TXT
    January 01, 1998 - universe NIS 1998 CORE10A 11 DISPUB92 44 45 Num Disposition of patient (UB-92 standard
  20. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1998_CORE10Bv2.TXT
    January 01, 1998 - universe NIS 1998 CORE10B 11 DISPUB92 44 45 Num Disposition of patient (UB-92 standard

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