-
hcup-us.ahrq.gov/toolssoftware/revisit/UserGuide-SuppRevisitFilesCD.pdf
October 01, 2024 - This example focuses on revisits for diabetes but can easily be
adapted to any diagnoses.
-
hcup-us.ahrq.gov/reports/methods/2015_01.pdf
January 01, 2015 - these two data
elements, there was no good argument for excluding them because we could impute them
easily … example, we suspect that the charges are MAR
(missingness depends on other covariates) and we cannot easily … these four data elements, there is no good argument for
excluding them because we can impute them easily
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1995_Design_Report.jsp
January 01, 1995 - AHCPR researchers wanted a simple, easily understood sampling methodology.
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1997_Design_Report.pdf
January 01, 1997 - � AHCPR researchers wanted a simple, easily understood sampling methodology.
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1994_Design_Report.jsp
January 01, 1994 - AHCPR researchers wanted a simple, easily understood sampling methodology.
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1997_Design_Report.jsp
January 01, 1997 - AHCPR researchers wanted a simple, easily understood sampling methodology.
-
hcup-us.ahrq.gov/datainnovations/Challenges_and_Opportunities_ICD10CMPCS.pdf
October 01, 2014 - tions, the implementation of ICD-9-CM in 1979 estab-
lished a US standard that hospitals could more easily
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1992_1988_Design_Report.jsp
January 01, 1992 - AHCPR researchers wanted a simple, easily understood sampling methodology.
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_1996_Design_Report.jsp
January 01, 1996 - AHCPR researchers wanted a simple, easily understood sampling methodology.
-
hcup-us.ahrq.gov/reports/methods/MS-2021-04-PopulationReport.pdf
January 01, 2021 - This information can be easily aggregated into larger geographic units
Diseases and Health:
No specific
-
hcup-us.ahrq.gov/reports/methods/MS2022-03-PopulationReport.pdf
December 15, 2022 - This information can be easily aggregated into larger geographic units
Diseases and Health:
No specific
-
hcup-us.ahrq.gov/reports/methods/2020-02.pdf
January 01, 2020 - This information can be easily aggregated into larger geographic units
Diseases and Health:
No specific
-
hcup-us.ahrq.gov/reports/methods/2012_01.pdf
January 01, 2012 - This information can be easily aggregated into larger geographic units
Diseases and Health:
No
-
hcup-us.ahrq.gov/reports/methods/2017-01.pdf
January 01, 2017 - Our illustrations here easily generalize to both the finite and
superpopulation frameworks, as they
-
hcup-us.ahrq.gov/reports/methods/2007_01.pdf
January 01, 2007 - However, the
basic models should be easily within the grasp of most analysts with a solid background … Therefore, the collection
of patient outcomes during a given year for a specific facility can easily … The coefficient just as easily could have been
renamed β1.
-
hcup-us.ahrq.gov/db/nation/nis/APS_DRGsDefManualV26Public.pdf
April 01, 2010 - Chapter 2: APS-DRGs® Discussion
AP
• The structure of the APS-DRGs® model is simple, explicit and easily … This model can easily accommodate future updates with the introduction of new
technologies and changes
-
hcup-us.ahrq.gov/db/nation/nis/APS-DRGsDefManualV27Public.pdf
April 01, 2010 - Chapter 2: APS-DRGs® Discussion
AP
• The structure of the APS-DRGs® model is simple, explicit and easily … This model can easily accommodate future updates with the introduction of new
technologies and changes
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2000_Design_Report.pdf
January 01, 2000 - HCUP NIS 2000 (05/24/02) 9 Design of the HCUP NIS, 2000
• AHRQ researchers wanted a simple, easily
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2000_Design_Report.jsp
January 01, 2000 - to the number of hospitals is preferred for several reasons:
AHRQ researchers wanted a simple, easily
-
hcup-us.ahrq.gov/reports/statbriefs/sb237-Patient-Safety-Adverse-Events-2011-2014.pdf
January 01, 2014 - AHRQ offers free software to help organizations easily use the AHRQ QIs to generate actionable
information