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Showing results for "statistically significant".

  1. hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS11988-92Final.pdf
    July 11, 1996 - Moreover, because of the large number of comparisons, some of the statistically significant differences … Although the differences are not statistically significant for every category, this trend indicates … Although the difference is statistically significant only for these two hospital characteristics, the … In many cases the difference is statistically significant. … Tests of Statistical Significance To test for a statistically significant difference between an NIS
  2. hcup-us.ahrq.gov/reports/methods/1999NISComparisonReportFinal.pdf
    March 08, 2002 - Statistically significant differences between the NIS and NHDS can also be expected, for a variety of … Overall and by region, no statistically significant differences were found between the NIS and NHDS … There were no statistically significant differences by payer on length of stay estimates. … significant. … Tests of Statistical Significance To test for a statistically significant difference between an NIS
  3. hcup-us.ahrq.gov/reports/statbriefs/sb139.jsp
    July 01, 2012 - MD Introduction Kidney stone disease (also known as urolithiasis) represents a significant … Conversely, large stones or those causing significant side effects such as infection, renal (kidney) … There was a significant rise in the percent of kidney stone-related disease ED visits during the hottest
  4. hcup-us.ahrq.gov/db/nation/nis/reports/2001niscomparisonrpt.jsp
    November 01, 2015 - When viewing results, readers should note that statistically significant differences between the NIS … Statistically significant differences can be expected for a variety of reasons, including different sampling … Finally, the sheer number of tests (more than 800), will produce some statistically significant results … Overall and Regional Comparisons Overall and by region, no statistically significant differences emerged … Tests of Statistical Significance To test for a statistically significant difference between a NIS
  5. hcup-us.ahrq.gov/reports/methods/NIS_Comparison_Report_2001.pdf
    January 01, 2001 - When viewing results, readers should note that statistically significant differences between the NIS … Statistically significant differences can be expected for a variety of reasons, including different … Finally, the sheer number of tests (more than 800), will produce some statistically significant results … Overall and Regional Comparisons Overall and by region, no statistically significant differences emerged … Tests of Statistical Significance To test for a statistically significant difference between a NIS
  6. MAINTAIN AND EXPAND (pdf file)

    hcup-us.ahrq.gov/reports/methods/2000NISComparisonReportFinal.pdf
    February 28, 2003 - When viewing results, readers should note that statistically significant differences between the NIS … Statistically significant differences between the NIS and NHDS can be expected for a variety of reasons … Finally, the sheer number of tests (about 330), will produce, purely by chance, some statistically significant … Table 9 Overall and Regional Comparisons Overall and by region, no statistically significant … Tests of Statistical Significance To test for a statistically significant difference between an NIS
  7. hcup-us.ahrq.gov/reports/statbriefs/sb35.jsp
    July 01, 2007 - All differences noted in the text, tables, and figures are significant at the 0.05 level or better.
  8. hcup-us.ahrq.gov/reports/statbriefs/sb128.jsp
    April 01, 2012 - All differences between estimates noted in the text are statistically significant at the 0.05 level or
  9. hcup-us.ahrq.gov/reports/statbriefs/sb27.jsp
    March 01, 2007 - All differences between estimates noted in the text are statistically significant at the 0.05 level or
  10. Summary (pdf file)

    hcup-us.ahrq.gov/reports/methods/KIDComp1997Final.pdf
    March 16, 2001 - For each statistic, a test was performed to determine whether a difference was statistically significant … * Difference is significant at the 0.05 level. ** Difference is significant at the 0.01 level. … * Difference is significant at the 0.05 level. ** Difference is significant at the 0.01 level. … * Difference is significant at the 0.05 level. ** Difference is significant at the 0.01 level. … reliable and unbiased. 38 Appendix 1 Tests of Statistical Significance To test for a statistically
  11. hcup-us.ahrq.gov/reports/statbriefs/sb10.pdf
    July 01, 2006 - quality of health care has been a focal point of both past and present U.S. health care policy, but significant … All differences between estimates noted in the text are statistically significant at the 0.05 level … However, these statistically significant relative rates may also be affected by differences in disease … minorities relative to whites, risk adjusted, 2003 1.0 = White, Non-Hispanic (reference group) Significant … minorities relative to whites, risk adjusted, 2003 1.0 = White, Non-Hispanic (reference group) Significant
  12. Section2 5 (pdf file)

    hcup-us.ahrq.gov/reports/factsandfigures/2008/pdfs/section2_5.pdf
    January 01, 2008 - ‡ 2008 discharges are not statistically different from 1997 discharges at p<0.05. ** Includes discharges … There was no significant change in the number of private insurance liveborn infant stays between 1997
  13. Kid 1997 Comparison (pdf file)

    hcup-us.ahrq.gov/db/nation/kid/reports/KID_1997_Comparison.pdf
    January 01, 1997 - For each statistic, a test was performed to determine whether a difference was statistically significant … * Difference is significant at the 0.05 level. ** Difference is significant at the 0.01 level. … * Difference is significant at the 0.05 level. ** Difference is significant at the 0.01 level. … * Difference is significant at the 0.05 level. ** Difference is significant at the 0.01 level. … KID (01/28/02) 39 Comparative Analysis Appendix Tests of Statistical Significance To test for a statistically
  14. hcup-us.ahrq.gov/reports/statbriefs/sb143.jsp
    November 01, 2012 - Figures highlight differences that were statistically significant. … All differences between subgroup estimates noted in the text are statistically significant at the 0.05
  15. hcup-us.ahrq.gov/reports/statbriefs/sb130.pdf
    March 01, 2012 - Weekend (Saturday–Sunday) 47.0% 30.5% *Difference from all other injury-related ED visits not statisticallysignificant at p < 0.05. … significant difference among most age groups. … advice 0.7% 1.2% Died 1.2% 2.6% *Difference from all other injury-related inpatient stays not statisticallysignificant at p < 0.05.
  16. hcup-us.ahrq.gov/reports/statbriefs/sb22.jsp
    January 22, 2007 - All differences between estimates noted in the text are statistically significant at the 0.05 level or
  17. hcup-us.ahrq.gov/reports/statbriefs/sb17.jsp
    November 17, 2006 - All differences between estimates noted in the text are statistically significant at the 0.05 level or
  18. hcup-us.ahrq.gov/reports/statbriefs/sb5.pdf
    May 05, 2006 - All differences between estimates noted in the text are statistically significant at the 0.05 level … As shown in table 1, over the seven-year time period from 1997 to 2003, there were no significant shifts … ost circulatory conditions were no significant nces in in-hospital lity between men and n, except … For most conditions, there were no significant differences between men and women in in-hospital mortality … Percent women Principal diagnosis Number of hospital stays, overall, 2003 1997 2003 Significant
  19. hcup-us.ahrq.gov/reports/statbriefs/sb129.pdf
    April 01, 2012 - All differences between estimates that are noted in the text are statistically significant at the 0.05
  20. hcup-us.ahrq.gov/reports/statbriefs/sb113.jsp
    May 01, 2011 - All differences between estimates noted in the text are statistically significant at the 0.05 level or … ‡ Values are not statistically different from values for delivery stays without complicating conditions … Regional differences were not statistically significant for stays with complications (with or without

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