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hcup-us.ahrq.gov/db/nation/kid/kidchecklist.jsp
September 01, 2025 - Return to top
Research Design
⬜
Learn how to account for the KID sampling design. … Accounting for the sampling design is critical for accurate analyses. … To learn more about the KID sample design, view the Sample Design On-line Tutorial on the Tutorial … The sampling design of the KID does not support State-level analyses. … ⬜
Account for the design of the KID when calculating standard errors.
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hcup-us.ahrq.gov/reports/statbriefs/sb53.pdf
June 01, 2008 - could provide reliable
estimates for all four racial/ethnic groups (i.e. there was a large enough sample … size) and had strong
evidence that it measures a hospital patient safety event. … the clustering of patients within hospitals and the hospital
stratification aspects of the sampling design
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2012_Hospital_V2.TXT
January 01, 2012 - Data Set Name: NRD_2012_HOSPITAL_V2
Created on 09/28/2017
Number of Observations: 1715
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 4 Database name
6 - 9 Discharge year of data
11 - 24 File name
26 - 28 Data element number
30 - 48 Data eleme…
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2016_Hospital.TXT
January 01, 2016 - Data Set Name: NRD_2016_HOSPITAL
Created on 07/20/2018
Number of Observations: 2355
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 3 Database name
5 - 8 Discharge year of data
10 - 35 File name
37 - 39 Data element number
41 - 69 Data eleme…
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2015_Hospital.TXT
January 01, 2015 - Data Set Name: NRD_2015_HOSPITAL
Created on 10/31/2017
Number of Observations: 2367
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 3 Database name
5 - 8 Discharge year of data
10 - 35 File name
37 - 39 Data element number
41 - 69 Data eleme…
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2014_Hospital.TXT
January 01, 2014 - Data Set Name: NRD_2014_HOSPITAL
Number of Observations: 2048
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 4 Database name
6 - 9 Discharge year of data
11 - 19 File name
21 - 23 Data element number
25 - 43 Data element name
45 Le…
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2010_Hospital_V2.TXT
January 01, 2010 - Data Set Name: NRD_2010_HOSPITAL_V2
Created on 09/28/2017
Number of Observations: 1809
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 4 Database name
6 - 9 Discharge year of data
11 - 24 File name
26 - 28 Data element number
30 - 48 Data eleme…
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2011_Hospital_V2.TXT
January 01, 2011 - Data Set Name: NRD_2011_HOSPITAL_V2
Created on 09/28/2017
Number of Observations: 1804
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 4 Database name
6 - 9 Discharge year of data
11 - 24 File name
26 - 28 Data element number
30 - 48 Data eleme…
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2017_Hospital.TXT
January 01, 2017 - Data Set Name: NRD_2017_HOSPITAL
Created on 11/22/2019
Number of Observations: 2454
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 3 Database name
5 - 8 Discharge year of data
10 - 35 File name
37 - 39 Data element number
41 - 69 Data eleme…
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2013_Hospital.TXT
January 01, 2013 - Data Set Name: NRD_2013_HOSPITAL
Number of Observations: 2006
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 4 Database name
6 - 9 Discharge year of data
11 - 19 File name
21 - 23 Data element number
25 - 43 Data element name
45 Le…
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hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2018_Hospital.TXT
January 01, 2018 - Data Set Name: NRD_2018_HOSPITAL
Created on 11/30/2020
Number of Observations: 2430
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 3 Database name
5 - 8 Discharge year of data
10 - 35 File name
37 - 39 Data element number
41 - 69 Data eleme…
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hcup-us.ahrq.gov/db/nation/nis/DataElements_NIS_2004_Hospital.pdf
January 01, 2004 - For detailed information about the NIS sampling design, see the year-specific report on
the Design of … When the sample size was sufficiently large, hospitals were stratified as public
(HOSP_CONTROL=1), voluntary … For detailed information about the NIS sampling design, see the year-specific report on
the Design of … For detailed information about the NIS sampling design, see the year-specific report on
the Design of … For detailed information about the NIS sampling design, see the year-specific report on
the Design of
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hcup-us.ahrq.gov/db/nation/nis/DataElements_NIS_2003_HOSPITAL.pdf
January 01, 2003 - For detailed information about the NIS sampling design, see the year-specific report on
the Design of … When the sample size was sufficiently large, hospitals were stratified as public
(HOSP_CONTROL=1), voluntary … For detailed information about the NIS sampling design, see the year-specific report on
the Design of … For detailed information about the NIS sampling design, see the year-specific report on
the Design of … For detailed information about the NIS sampling design, see the year-specific report on
the Design of
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hcup-us.ahrq.gov/reports/methods/2007_03.pdf
January 01, 2007 - One of the most distinctive
features of the NIS is that its large sample size allows for the study of … We must emphasize that the NIS
provides a large sample size that tends to yield estimates with much … Where a comprehensive geographic representation is more
important than a large sample size, and the … (a) Because of very small sample size, the NHDS estimate and standard error were
unreliable and not … (a) Because of very small sample size, the NHDS estimate and standard error were
unreliable and not
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hcup-us.ahrq.gov/db/nation/nass/nasschecklist.jsp
November 01, 2024 - ⬜
Learn how to account for the NASS sampling design. … view the HCUP Sample Design tutorial on the HCUP Online Tutorial Series page on HCUP-US. … The tutorial will be updated in the future to directly address the NASS sampling design. … The sampling design of the NASS does not support physician-level analyses. … ⬜
Account for the design of the NASS when calculating standard errors.
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hcup-us.ahrq.gov/reports/methods/2015_01.pdf
January 01, 2015 - Sample design issues do not apply to the SID. … Naturally, the estimates will
suffer a loss in precision because of the reduced sample size compared … size afforded by the imputations. … The
histogram sample size (N) was 20 times the original sample size because the imputed data
comprised … The histogram sample size (N) is 20 times the original sample
size because the imputed data comprised
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hcup-us.ahrq.gov/reports/methods/2016-06.pdf
January 01, 2016 - It is important not to conflate the large sample size of the HCUP
databases with the ability to measure … Its large sample size is ideal for developing national and
regional estimates and enables analyses of … Its large sample size is ideal for developing national and regional estimates and
enables analyses of … Its
HCUP (12/05/16) 6 Using the HCUP Databases to Study
Incidence and Prevalence
large sample … The HCUP databases
have a large sample size which is advantageous for many research studies, particularly
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hcup-us.ahrq.gov/reports/statbriefs/sb289-Substance-Use-Disorder-Hospitalizations-by-Region-2016-2018.pdf
January 01, 2018 - Because of the large
sample size of the NIS and SID data, small differences can be
statistically significant … The unweighted
sample size for the 2018 NIS is 7,105,498 (weighted, this represents 35,527,481 inpatient … The
unweighted sample size for the 2016 NIS is 7,135,090 (weighted, this represents 35,675,421 inpatient … For a detailed description of HCUP and more information on the design of the National Inpatient
Sample
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hcup-us.ahrq.gov/reports/statbriefs/sb94.pdf
November 01, 2008 - the clustering of patients within hospitals and the hospital
stratification aspects of the sampling design … For a detailed description of HCUP, more information on the design of the NIS, and methods to calculate
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hcup-us.ahrq.gov/reports/natstats/commdx/commdx.htm
October 01, 1999 - developing national estimates, for analyzing national trends, and for research
that requires a large sample … size (e.g., care patterns for rare conditions such
as congenital anomalies, frequency and distribution