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Showing results for "cross sectional".

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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

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