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Showing results for "cross sectional".

  1. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1990_SummaryStats_N10Core2.PDF
    July 07, 2005 - Percent Of Missing Value Count All Obs Missing Obs . 17499 2.79 100.00 The Tabulate Procedure Cross-tabular
  2. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1992_SummaryStats_N10Core1.PDF
    January 01, 1992 - Percent Of Missing Value Count All Obs Missing Obs . 23816 3.84 100.00 The Tabulate Procedure Cross-tabular
  3. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1992_SummaryStats_N10Core2.PDF
    January 01, 1992 - Percent Of Missing Value Count All Obs Missing Obs . 23810 3.84 100.00 The Tabulate Procedure Cross-tabular
  4. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1995_SummaryStats_N10Core1.PDF
    January 01, 1995 - Missing Obs . 13577 2.02 99.94 A 8 0.00 0.06 Total 13585 2.02 100.00 The Tabulate Procedure Cross-tabular
  5. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1995_SummaryStats_N10Core2.PDF
    January 01, 1995 - Missing Obs . 13577 2.02 99.97 A 4 0.00 0.03 Total 13581 2.02 100.00 The Tabulate Procedure Cross-tabular
  6. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1993_SummaryStats_N10Core1.PDF
    January 01, 1993 - Percent Of Missing Value Count All Obs Missing Obs . 18060 2.76 100.00 The Tabulate Procedure Cross-tabular
  7. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1993_SummaryStats_N10Core2.PDF
    January 01, 1993 - Percent Of Missing Value Count All Obs Missing Obs . 18083 2.77 100.00 The Tabulate Procedure Cross-tabular
  8. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1994_SummaryStats_N10Core1.PDF
    January 01, 1994 - Percent Of Missing Value Count All Obs Missing Obs . 14805 2.32 100.00 The Tabulate Procedure Cross-tabular
  9. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1994_SummaryStats_N10Core2.PDF
    January 01, 1994 - Percent Of Missing Value Count All Obs Missing Obs . 14809 2.32 100.00 The Tabulate Procedure Cross-tabular
  10. hcup-us.ahrq.gov/db/nation/kid/kid_2019_introduction.jsp
    January 01, 2012 - 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 analytical file is too small to set aside a large validation sample, cross-validation techniques … For example, tenfold cross-validation would split the data into ten equal-sized subsets.
  11. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1997_SummaryStats.PDF
    January 01, 1997 - Quantiles (Definition 5) Quantile Estimate 1% 1.425400 0% Min 0.972755 The Tabulate Procedure Cross-tabular
  12. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1996_SummaryStats.PDF
    January 01, 1996 - ) Quantiles (Definition 5) Quantile Estimate 1% 2.8937 0% Min 1.9360 The Tabulate Procedure Cross-tabular
  13. hcup-us.ahrq.gov/db/nation/nis/tools/stats/NIS_1995_SummaryStats.PDF
    January 01, 1995 - ) Quantiles (Definition 5) Quantile Estimate 1% 2.5583 0% Min 1.0710 The Tabulate Procedure Cross-tabular
  14. MAINTAIN AND EXPAND (pdf file)

    hcup-us.ahrq.gov/db/nation/kid/reports/KID_2003_Design_Edited_013006.pdf
    January 01, 2003 - Major Diagnostic Category (MDC 15), or admission type of birth (ATYPE=4).3 Based on reviews of the cross … 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 analytical file is too small to set aside a large validation sample, cross-validation techniques … For example, tenfold cross-validation would split the data into ten equal-sized subsets.
  15. hcup-us.ahrq.gov/db/nation/nis/2006NIS_INTRODUCTION.pdf
    November 01, 2015 - 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
  16. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2010.jsp
    January 01, 2010 - 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_Introduction_2009.jsp
    January 01, 2009 - 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/nis/NIS_Introduction_2011.jsp
    January 01, 2011 - 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
  19. hcup-us.ahrq.gov/db/nation/nrd/stats/MaskedStats_NRD_2021_CORE.PDF
    January 01, 2021 - 1.67625 25% Q1 1.42971 10% 1.30998 5% 1.24131 1% 1.18840 0% Min 1.07126 The Tabulate Procedure Cross-tabular
  20. hcup-us.ahrq.gov/reports/statbriefs/sb162.pdf
    March 01, 2013 - patients covered by fee-for-service and managed care Medicaid – Private Insurance: includes Blue Cross

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