-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/MaskedStats_NIS_2017_Core.PDF
January 01, 2017 - Quantile
50% Median 5.00
25% Q1 5.00
10% 5.00
5% 5.00
1% 5.00
0% Min 4.99
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2006_MaskedStats_Core.PDF
January 01, 2006 - 4.85123
25% Q1 4.57461
10% 4.33832
5% 4.21212
1% 3.90688
0% Min 3.78091
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nrd/stats/MaskedStats_NRD_2022_CORE.PDF
January 01, 2022 - 1.66658
25% Q1 1.42054
10% 1.33213
5% 1.24411
1% 1.17081
0% Min 1.07047
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_2012_MaskedStats_Core.PDF
January 01, 2012 - 25% Q1 1.307701
10% 1.241895
5% 1.187954
1% 1.109574
0% Min 0.603418
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2003_SummaryStats_10PCT_SAMPLE_B.PDF
January 01, 2003 - Percent Of
Missing
Value Count All Obs
Missing
Obs
. 17320 2.17 100.00
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2004_SummaryStats_10PCT_SAMPLE_A.PDF
January 01, 2004 - Percent Of
Missing
Value Count All Obs
Missing
Obs
. 15865 1.98 100.00
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2004_SummaryStats_10PCT_SAMPLE_B.PDF
January 01, 2004 - Missing
Obs
. 15976 2.00 99.99
A 2 0.00 0.01
Total 15978 2.00 100.00
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2003_SummaryStats_10PCT_SAMPLE_A.PDF
January 01, 2003 - Percent Of
Missing
Value Count All Obs
Missing
Obs
. 17309 2.17 100.00
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2009_MaskedStats_Core.PDF
January 01, 2009 - )
Quantiles (Definition 5)
Quantile Estimate
5% 4.48366
1% 3.42970
0% Min 3.13579
Tabulate
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2007.jsp
January 01, 2007 - variance calculations are based on finite-sample theory, which is an appropriate method for obtaining cross-sectional … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … If the analytic file is too small to set aside a large validation sample, cross-validation techniques … For example, ten-fold cross-validation would split the data into ten subsets of equal size. … Further, the sample weights were developed as annual, cross-sectional weights, rather than longitudinal
-
hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2008.jsp
January 01, 2008 - variance calculations are based on finite-sample theory, which is an appropriate method for obtaining cross-sectional … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … If the analytic file is too small to set aside a large validation sample, cross-validation techniques … For example, ten-fold cross-validation would split the data into ten subsets of equal size. … Further, the sample weights were developed as annual, cross-sectional weights, rather than longitudinal
-
hcup-us.ahrq.gov/reports/statbriefs/sb162.jsp
September 01, 2013 - includes patients covered by fee-for-service and managed care Medicaid
Private Insurance: includes Blue Cross
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2010_MaskedStats_Core.PDF
January 01, 2010 - 50% Median 5.03641
25% Q1 4.81752
10% 4.23714
5% 4.06945
1% 3.70579
0% Min 3.70579
Tabulate
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2007_MaskedStats_Core.PDF
January 01, 2007 - )
Quantiles (Definition 5)
Quantile Estimate
5% 3.87304
1% 3.21496
0% Min 3.21496
Tabulate
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/MaskedStats_NIS_2015Q4_Dx_Pr_Grps.PDF
November 08, 2017 - PRVER Frequency
Percent
of Total
10: ICD-10-PCS procedures 1,776,269 100.0%
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/NIS_2008_INTRODUCTION.pdf
January 01, 2008 - variance calculations are based on finite-sample theory, which is an appropriate method
for obtaining cross-sectional … In addition to these subroutines, standard errors can be estimated by validation and cross-
validation … If the analytic file is too small to set aside a large validation sample, cross-validation techniques … For example, ten-fold cross-validation would split the data into ten subsets of
equal size. … Further, the sample weights were developed as
annual, cross-sectional weights, rather than longitudinal
-
hcup-us.ahrq.gov/db/nation/nis/NIS_2007_INTRODUCTION.pdf
January 01, 2007 - variance calculations are based on finite-sample theory, which is an appropriate method
for obtaining cross-sectional … In addition to these subroutines, standard errors can be estimated by validation and cross-
validation … If the analytic file is too small to set aside a large validation sample, cross-validation techniques … For example, ten-fold cross-validation would split the data into ten subsets of
equal size. … Further, the sample weights were developed as
annual, cross-sectional weights, rather than longitudinal
-
hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_2000_SummaryStats_CORE.PDF
January 01, 2000 - Quantiles (Definition 5)
Quantile Estimate
1% 1.290360
0% Min 0.754187
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_2019_MaskedStats_Core_V2.PDF
January 01, 2019 - Quantile
50% Median 1.32
25% Q1 1.27
10% 1.25
5% 1.23
1% 1.17
0% Min 0.84
The Tabulate Procedure
Cross-tabular
-
hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2002_SummaryStats.PDF
January 01, 2002 - Quantiles (Definition 5)
Quantile Estimate
1% 3.23472
0% Min 1.83871
The Tabulate Procedure
Cross-tabular