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Showing results for "core set".

  1. hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2009_Core.TXT
    January 01, 2009 - Data Set Name: NIS_2009_CORE Number of Observations: 7810762 Total Record Length: … NIS 2009 Core 30 DX11 118 122 Char Diagnosis 11 NIS 2009 Core … NIS 2009 Core 36 DX17 148 152 Char Diagnosis 17 NIS 2009 Core … NIS 2009 Core 42 DX23 178 182 Char Diagnosis 23 NIS 2009 Core … 2009 Core 58 DXCCS14 232 234 Num CCS: diagnosis 14 NIS 2009 Core
  2. hcup-us.ahrq.gov/db/nation/kid/tools/stats/FileSpecifications_KID_2009_Core.TXT
    January 01, 2009 - Data Set Name: KID_2009_CORE Number of Observations: 3407146 Total Record Length: … KID 2009 Core 38 DX15 158 162 Char Diagnosis 15 KID 2009 Core … KID 2009 Core 44 DX21 188 192 Char Diagnosis 21 KID 2009 Core … 2009 Core 67 DXCCS19 267 269 Num CCS: diagnosis 19 KID 2009 Core … KID 2009 Core 116 PR11 446 449 Char Procedure 11 KID 2009 Core
  3. hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2011_Core_V2.TXT
    January 01, 2011 - Data Set Name: NRD_2011_CORE_V2 Created on 09/28/2017 Number of Observations: 13915176
  4. hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2012_Core_V2.TXT
    January 01, 2012 - Data Set Name: NRD_2012_CORE_V2 Created on 09/28/2017 Number of Observations: 13459216
  5. hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2010_Core_V2.TXT
    January 01, 2010 - Data Set Name: NRD_2010_CORE_V2 Created on 09/28/2017 Number of Observations: 13907610
  6. hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2020_Core_V2.TXT
    January 01, 2020 - Data Set Name: NIS_2020_CORE Number of Observations: 6471165 Total Record Length
  7. hcup-us.ahrq.gov/db/nation/nis/NIS_Trends_Supplemental_Merge_Driver.sas
    September 11, 2006 - to import NIS Trends Supplemental Files and */ /* merge to previously created NIS data set … Create or copy the NIS Trends Supplemental file */ /* into same location as the core … corepath_ - Folder path location of transport file. */ /* corename_ - Name of current core … \SASDATA; * Update to path location of current core data set; %LET corename_ = … NIS_CORE_&year_.; * Update to name of current core data set; %LET mrgpath
  8. hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2019_Core_V2.TXT
    January 01, 2019 - Data Set Name: NRD_2019_CORE Created on 11/30/2022 Number of Observations: 18132856
  9. hcup-us.ahrq.gov/db/nation/nis/tools/stats/FileSpecifications_NIS_2019_Core_V2.TXT
    January 01, 2019 - Data Set Name: NIS_2019_CORE Number of Observations: 7083805 Total Record Length
  10. hcup-us.ahrq.gov/db/nation/kid/tools/stats/FileSpecifications_KID_2019_Core_V2.TXT
    January 01, 2019 - Data Set Name: KID_2019_CORE Number of Observations: 3089283 Total Record Length
  11. Reference (pdf file)

    hcup-us.ahrq.gov/tech_assist/trends/interactive/resources/reference.pdf
    January 01, 1998 - Save the NIS Trend files in the same folder as you saved the NIS Core files. 3. … \sasdata\; * Update to path location of current core data set; %LET corename_ = NCORE; * Update to … name of current core data set; %LET mrgpath_ = C:\Analysis\Trends_Supplemental; * Update to location … \SASDATA; * Update to path location of current core data set; %LET corename_ = NIS_&year_. … _CORE; * Update to name of current core data set; %LET mrgpath_ = C:\Analysis\Trends_Supplemental
  12. hcup-us.ahrq.gov/db/nation/nis/NIS_Trends_Supplemental_Merge_Macro.sas
    September 11, 2006 - Import NIS Trends Supplemental Files and merge to */ /* previously created NIS data set … GE 1998 %THEN %DO; BY KEY; %END; RUN; * Sort user original core data set and rename overlapping … GE 1998 %THEN %DO; BY KEY; %END; RUN; * Merge original core data set with NIS Trends Supplemental … data set; DATA LIBOUT. … NIS Trends Supplemental SAS data set"; RUN; %MEND; * NIS;
  13. hcup-us.ahrq.gov/db/nation/nis/UserGuideNISSupplementalDischarge-LevelFiles20150526.pdf
    May 01, 2015 - are set to “incn.” … Set to “incn” if PRV = .C. x x x x x PRCCS1 Renamed PCCHPR1 Set to .A if PRVn = 1 Set to .C … files to produce a dataset containing the complete set of variables from both sources. … Core A, Core B, Dx, Pr, etc.) The provided SAS programs will accept only a single input Core file. … Core A, Core B, Dx, Pr, etc.)
  14. D Filesp 1997 (pdf file)

    hcup-us.ahrq.gov/db/nation/nis/tools/stats/D_FILESP_1997.PDF
    January 01, 1997 - HCUP FILE SPECIFICATIONS NATIONWIDE INPATIENT SAMPLE (NIS), RELEASE 6, 1997 Year Description Data Set … Name Records Length Bytes Number of Record Number of 1997 Full NIS, Inpatient Stay Core File A NIS97 … Full NIS, Inpatient Stay Core File C NIS97_C.ASC 7,148,420 65 478,944,140 Full NIS, Core File DX ( … 19 215,523,441 Hospital Weights File NIS97WT.ASC 1,012 251 256,036 Inpatient Stay Subsample 1 Core … 2 Core File (A/B/C) N97S2ABC.ASC 714,842 225 162,269,134 Core File DX (diagnoses) N97S2_DX.ASC 3,387,234
  15. hcup-us.ahrq.gov/db/state/sedddist/Introduction_to_SEDD.pdf
    September 01, 2025 - • The SEDD contain a core set of clinical and nonclinical information on all visits, regardless of … • In addition to the core set of uniform data elements common to all SEDD, some State data include … In addition to the core set of uniform data elements, the SEDD include State-specific data elements … of the 2015 data with ICD-9-CM2 codes (discharges from Jan 1, 2015 – September 30, 2015) are in one setset of load programs for the Q4 files.
  16. hcup-us.ahrq.gov/db/state/sasddist/Introduction_to_SASD.pdf
    September 01, 2025 - The HCUP State Ambulatory Surgery and Services Databases (SASD) are a powerful set of databases that … • The SASD contain a core set of clinical and nonclinical information on all visits, regardless of … • In addition to the core set of uniform data elements common to all SASD, some include other elements … In addition to the core set of uniform data elements, the SASD include State-specific data elements … set of load programs for the Q4 files.
  17. hcup-us.ahrq.gov/db/state/siddist/Introduction_to_SID.pdf
    September 01, 2025 - • The SID contain a core set of clinical and nonclinical information on all visits, regardless of … • In addition to the core set of uniform data elements common to all SID, some include other elements … In addition to the core set of uniform data elements, the SID include State-specific data elements or … of the 2015 data with ICD-9-CM2 codes (discharges from Jan 1, 2015 – September 30, 2015) are in one setset of load programs for the Q4 files.
  18. hcup-us.ahrq.gov/db/state/siddist/SID_Introduction.jsp
    June 01, 2022 - The SID contain a core set of clinical and nonclinical information on all visits, regardless of the expected … In addition to the core set of uniform data elements common to all SID, some include other elements such … In addition to the core set of uniform data elements, the SID include State-specific data elements or … 2015 data with ICD-9-CM 2 codes (discharges from January 1, 2015 - September 30, 2015) are in one setset of load programs for the Q4 files.
  19. hcup-us.ahrq.gov/db/state/sedddist/SEDD_Introduction.jsp
    June 01, 2022 - The SEDD contain a core set of clinical and nonclinical information on all visits, regardless of the … In addition to the core set of uniform data elements common to all SEDD, some State data include other … In addition to the core set of uniform data elements, the SEDD include State-specific data elements … the 2015 data with ICD-9-CM 2 codes (discharges from Jan 1, 2015 - September 30, 2015) are in one setset of load programs for the Q4 files.
  20. hcup-us.ahrq.gov/db/state/sasddist/SASD_Introduction.jsp
    June 01, 2022 - The HCUP State Ambulatory Surgery and Services Databases (SASD) are a powerful set of databases that … The SASD contain a core set of clinical and nonclinical information on all visits, regardless of the … In addition to the core set of uniform data elements common to all SASD, some include other elements … In addition to the core set of uniform data elements, the SASD include State-specific data elements or … set of load programs for the Q4 files.

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