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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…
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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.
-
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 standard … Standard 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
-
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.
-
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.
-
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.
-
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.
-
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
-
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
-
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…
-
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.
-
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.
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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
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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
-
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
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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
-
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
-
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
-
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
-
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