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hcup-us.ahrq.gov/db/ccr/ed-ccr/CCR-CD-SEDD-UserGuide-2018.pdf
January 01, 2018 - Element HTYPE)
The following peer groups (HTYPE), based on hospital ownership, location,
and bed size … hospital-specific CCRs in peer groups (defined by State, urban/rural
location, hospital ownership, and bed size
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hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2004_HOSPITAL.TXT
January 01, 2004 - from AHA Survey (Z014)
NIS 2004 Hospital 12 HOSP_BEDSIZE 132 133 Num Bed size
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hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2002_HOSPITAL.TXT
January 01, 2002 - ZIP Code from AHA Survey (Z014)
NIS 2002 HOSPITAL 11 HOSP_BEDSIZE 125 126 Num Bed size
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hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2000_HOSPITAL.TXT
January 01, 2000 - ZIP Code from AHA Survey (Z014)
NIS 2000 HOSPITAL 11 HOSP_BEDSIZE 130 131 Num Bed size
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hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2005_Hospital.TXT
January 01, 2005 - from AHA Survey (Z014)
NIS 2005 Hospital 12 HOSP_BEDSIZE 132 133 Num Bed size
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hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2006_Hospital.TXT
January 01, 2006 - from AHA Survey (Z014)
NIS 2006 Hospital 12 HOSP_BEDSIZE 132 133 Num Bed size
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hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2003_HOSPITAL.TXT
January 01, 2003 - from AHA Survey (Z014)
NIS 2003 HOSPITAL 11 HOSP_BEDSIZE 125 126 Num Bed size
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hcup-us.ahrq.gov/db/nation/nass/NASS_Introduction_2019.jsp
January 01, 2019 - With a file of this size, space easily could become a problem in a multistep program. … Table 3 contains values for the NASS stratification variables: census region, bed size category, 15 … Collapse the entire bed size dimension if required. … To reduce the file size of the NASS, the number of codes retained was limited. … For example, tenfold cross-validation would split the data into 10 subsets of equal size.
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hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2013.jsp
January 01, 2013 - Documentation Available on HCUP–US
Figure 1: NIS States, by Census Division
Table 5: Hospital Size … The new NIS retains a large sample size, which enables analyses of rare conditions, uncommon treatments … For example, ten–fold cross–validation would split the data into ten subsets of equal size. … Yet it was important to recognize gradations of size within these types of hospitals. … This sample size was determined by AHRQ based on their experience with similar research databases.
-
hcup-us.ahrq.gov/db/nation/nass/2019_NASS_Introduction.pdf
January 01, 2019 - With a file of this size, space easily could become a problem in a multistep program. … Table 3 contains values for the NASS stratification
variables: census region, bed size category,15 … o Collapse the entire bed size dimension if required. … To reduce the file size of the NASS, the number of codes retained was
limited. … For example, tenfold cross-validation would split the data into 10 subsets of
equal size.
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hcup-us.ahrq.gov/db/nation/kid/reports/1997_KID_Comparative_Analysis_Errata.pdf
January 01, 1997 - Microsoft Word - 1997_KID_Comparative_Analysis_Errata.DOC
HCUP KIDS’ INPATIENT DATABASE
COMPARATIVE ANALYSIS, 1997
Errata
HCUP KID (07/24/02) 1 Comparative Analysis Errata
Table 1: Sample Sizes (unweighted numbers of cases) – By Diagnoses, 1997
Strata
Reported
KID
Discharges
Actual
KID …
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hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2009.pdf
January 01, 2009 - The total size of the comma-delimited version (CSV) of the NEDS is almost 14 GB. … ED bed size was not used because no data source for this information could be identified. … A sample size of 20 percent was based on previous experience with
similar research databases. … Thus, the boundaries tend to
be a compromise between geographic size and population size. … For example, ten-fold cross-validation would split the data into 10 subsets of
equal size.
-
hcup-us.ahrq.gov/db/nation/neds/NEDS2011Introduction01142014.pdf
November 01, 2015 - The total size of the comma-separated version (CSV) of the NEDS is almost 14 GB. … ED bed size was not used because no data source for this information could be identified. … A sample size of 20 percent was based on previous experience with
similar research databases. … Thus, the boundaries tend to
be a compromise between geographic size and population size. … For example, ten-fold cross-validation would split the data into 10 subsets of
equal size.
-
hcup-us.ahrq.gov/db/nation/neds/NEDS2010Introductionv3.pdf
November 01, 2015 - The total size of the comma-separated version (CSV) of the NEDS is almost 14 GB. … ED bed size was not used because no data source for this information could be identified. … A sample size of 20 percent was based on previous experience with
similar research databases. … Thus, the boundaries tend to
be a compromise between geographic size and population size. … For example, ten-fold cross-validation would split the data into 10 subsets of
equal size.
-
hcup-us.ahrq.gov/db/nation/neds/NEDS2009Introductionv3.pdf
September 01, 2011 - The total size of the comma-delimited version (CSV) of the NEDS is almost 14 GB. … ED bed size was not used because no data source for this information could be identified. … A sample size of 20 percent was based on previous experience with
similar research databases. … Thus, the boundaries tend to
be a compromise between geographic size and population size. … For example, ten-fold cross-validation would split the data into 10 subsets of
equal size.
-
hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2011.jsp
January 01, 2011 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … ED bed size was not used because no data source for this information could be identified. … A sample size of 20 percent was based on previous experience with similar research databases. … Thus, the boundaries tend to be a compromise between geographic size and population size. … For example, ten-fold cross-validation would split the data into 10 subsets of equal size.
-
hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2012.jsp
January 01, 2012 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … ED bed size was not used because no data source for this information could be identified. … A sample size of 20 percent was based on previous experience with similar research databases. … Thus, the boundaries tend to be a compromise between geographic size and population size. … For example, ten-fold cross-validation would split the data into 10 subsets of equal size.
-
hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2010.jsp
January 01, 2010 - One of the most distinctive features of the NEDS is its large sample size, which allows for analysis … ED bed size was not used because no data source for this information could be identified. … A sample size of 20 percent was based on previous experience with similar research databases. … Thus, the boundaries tend to be a compromise between geographic size and population size. … For example, ten-fold cross-validation would split the data into 10 subsets of equal size.
-
hcup-us.ahrq.gov/db/nation/neds/NEDSIntroduction2022.pdf
November 01, 2024 - Size of NEDS Target Universe, Sampling Frame, and Sample, 2022 .................... … ED bed size was not used because no data source for this information could be identified. … To reduce the file size of the NEDS, the number of codes was
limited. … For example, 10-fold cross-validation would split the data into 10 subsets of
equal size. … Size of NEDS Target Universe, Sampling Frame, and Sample, 2022
Table A6.
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hcup-us.ahrq.gov/reports/statbriefs/sb258-Opioid-Hospitalizations-Rural-Metro-Hospitals-2016.pdf
January 01, 2016 - ■ Based on hospital bed size
and occupancy level, the
lowest opioid burden was
among small hospitals … the average hospital rates of opioid-related inpatient stays by hospital urban-rural location,
bed size … the average hospital rate of opioid-related inpatient stays by hospital urban-rural
location and bed size … The number of hospitals by urban-rural location and bed size is provided
below the figure, for reference … , 2016
Bed size
Number of hospitals by hospital urban-rural location
Metro Rural-adjacent