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Showing results for "size".

  1. hcup-us.ahrq.gov/db/nation/nass/2018_NASS_Introduction.pdf
    January 01, 2018 - 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,12 … 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.
  2. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_2001_HOSPITAL.TXT
    January 01, 2001 - ZIP Code from AHA Survey (Z014) NIS 2001 HOSPITAL 10 HOSP_BEDSIZE 120 121 Num Bed size
  3. hcup-us.ahrq.gov/db/nation/nis/NISIntroduction2010.pdf
    November 01, 2015 - ................................................................................. 11 Table 7: Bed Size … For example, ten-fold cross-validation would split the data into ten subsets of equal size. … Bed Size – small, medium, and large. … Yet it was important to recognize gradations of size within these types of hospitals. … Thus, the boundaries tend to be a compromise between geographic size and population size.
  4. hcup-us.ahrq.gov/db/nation/nis/NIS_2009_INTRODUCTION.pdf
    January 01, 2009 - ................................................................................. 11 Table 7: Bed Size … For example, ten-fold cross-validation would split the data into ten subsets of equal size. … Bed Size – small, medium, and large. … Yet it was important to recognize gradations of size within these types of hospitals. … Thus, the boundaries tend to be a compromise between geographic size and population size.
  5. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2011.pdf
    January 01, 2011 - ................................................................................. 11 Table 7: Bed Size … For example, ten-fold cross-validation would split the data into ten subsets of equal size. … Bed Size – small, medium, and large. … Yet it was important to recognize gradations of size within these types of hospitals. … Thus, the boundaries tend to be a compromise between geographic size and population size.
  6. hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2013.jsp
    January 01, 2013 - 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. … To reduce the file size of the NEDS, the number of codes retained was limited. … For example, ten-fold cross-validation would split the data into 10 subsets of equal size.
  7. hcup-us.ahrq.gov/reports/methods/2008_01.pdf
    January 01, 2008 - Therefore, the NIS may be more appropriate when hospital type and size are important considerations. … Where a comprehensive geographic representation is more important than a large sample size, and the … The NIS provides a large sample size that tends to yield estimates with much smaller standard errors … (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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2008.jsp
    January 01, 2008 - 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 ten subsets of equal size.
  15. hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2007v2.jsp
    November 01, 2015 - 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 ten subsets of equal size.
  16. hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2006v2.jsp
    November 01, 2015 - 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 ten subsets of equal size.
  17. hcup-us.ahrq.gov/db/nation/neds/NEDS_2006v2_IntroductionRevised.pdf
    November 01, 2015 - 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 ten subsets of equal size.
  18. hcup-us.ahrq.gov/db/nation/neds/NEDS2007v2IntroductionRevised.pdf
    November 01, 2015 - 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 ten subsets of equal size.
  19. hcup-us.ahrq.gov/db/nation/neds/NEDS_2007_Introduction_v5.pdf
    January 01, 2007 - 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 ten subsets of equal size.
  20. hcup-us.ahrq.gov/db/nation/neds/NEDS2008Introductionv3.pdf
    November 01, 2015 - 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 ten subsets of equal size.

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