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Showing results for "statistically significant".

  1. hcup-us.ahrq.gov/reports/methods/2008_02.pdf
    January 01, 2008 - significant at p<0.05; negative sign (--) indicates negative association, statistically significantsignificant Not statistically significant Statistically significant share State Policy Characteristics … significant at p<0.05; negative sign (—) indicates negative association, statistically significantsignificant at p<0.05; negative sign (—) indicates negative association, statistically significantsignificant at p<0.05; negative sign (—) indicates negative association, statistically significant
  2. Section5 11 (pdf file)

    hcup-us.ahrq.gov/reports/factsandfigures/2008/pdfs/section5_11.pdf
    January 01, 2008 - 8 Differences in discharge rates for the poorest and all other communities are not statisticallysignificant at p<.05. 9 Differences in discharge rates for the poorest and all other communities are … not statistically significant at p<.05. 10 Differences in discharge rates for the poorest and all other … communities are not statistically significant at p<.05. 11 Differences in discharge rates for the poorest … and all other communities are not statistically significant at p<.05.
  3. hcup-us.ahrq.gov/reports/factsandfigures/2008/exhibit5_11.jsp
    January 01, 2008 - 11 8 Differences in discharge rates for the poorest and all other communities are not statisticallysignificant at p‹.05. 9 Differences in discharge rates for the poorest and all other communities … are not statistically significant at p‹.05. 10 Differences in discharge rates for the poorest and … all other communities are not statistically significant at p‹.05. 11 Differences in discharge rates … for the poorest and all other communities are not statistically significant at p‹.05.  
  4. hcup-us.ahrq.gov/reports/statbriefs/sb305-dental-conditions-2019-2020.jsp
    January 01, 2020 - All differences between estimates noted in the text are statistically significant at the 0.05 … important to note that because of the large sample size of the NEDS data, small differences can be statisticallysignificant but not clinically important.
  5. hcup-us.ahrq.gov/reports/statbriefs/sb151.pdf
    August 01, 2011 - Between 2005 and 2010, there were no statistically significant changes in rates for long-term diabetes … significant at p<0.05. … Both differences in rates of admission between 2005 and 2010 were not statistically significant at p … In contrast, the rate for urinary tract infection showed a small but statistically significant 8 percent … *All differences in rates of admission between 2005 and 2010 were statistically significant at p<0.05
  6. hcup-us.ahrq.gov/reports/statbriefs/sb178-Preventable-Hospitalizations-by-Region.jsp
    September 01, 2014 - All differences between estimates noted in the text, table, and figures are statistically significant … The differences in rates between 2005 and 2011 were statistically significant at p<0.05 for all regions … The difference in rates between 2005 and 2011 was statistically significant at p<0.05 only for the South … The differences in rates between 2005 and 2011 were statistically significant at p<0.05 for all locations … The difference in rates between 2005 and 2011 was statistically significant at p<0.05 only for the micropolitan
  7. hcup-us.ahrq.gov/reports/statbriefs/sb151.jsp
    March 01, 2013 - Between 2005 and 2010, there were no statistically significant changes in rates for long-term diabetes … *All differences in rates of admission between 2005 and 2010 were statistically significant at p<0.05 … Both differences in rates of admission between 2005 and 2010 were statistically significant at p<0.05 … In contrast, the rate for urinary tract infection showed a small but statistically significant 8 percent … *All differences in rates of admission between 2005 and 2010 were statistically significant at p<0.05
  8. hcup-us.ahrq.gov/reports/factsandfigures/2009/exhibit5_6.jsp
    January 01, 2009 - significant. 1997: 1,004; 1998: 1,029; 1999: 1,034; 2000: 1,038; 2001: 1,026; 2002: 1,024; 2003: 997 … significant. 1997: 950; 1998: 926; 1999: 968; 2000: 1,036; 2001: 1,012; 2002: 1,070; 2003: 1,051; 2004 … ξ 2009 stays per 1,000 maternal stays are statistically different from 1997 stays per 1,000 maternal … Vaginal delivery without episiotomy. 4% increase between 1997 and 2009 not statistically significant. … Perineal lacerations. 9% increase between 1997 and 2009 not statistically significant. 1997: 303; 1998
  9. hcup-us.ahrq.gov/reports/infographics/SAMSHA_opioids.pdf
    January 18, 2022 - Inpatient Sample and Nationwide Emergency Department Sample, 2017. 2014 177.7 18.3% 2015 *Change not statisticallysignificant
  10. hcup-us.ahrq.gov/reports/statbriefs/sb134.jsp
    May 01, 2012 - All differences between estimates noted in the text are statistically significant at the 0.05 level or … ‡ Regional differences in ED visit rates were not statistically significant (p <.05) for the following … Regional differences in hospitalization rates were not statistically significant (p <.05) for the following … * Age differences in treat-and-release rates were not statistically significant (p<.05) for the … † Regional differences in hospitalization rates were not statistically significant (p<.05) for
  11. hcup-us.ahrq.gov/reports/statbriefs/sb134.pdf
    March 01, 2012 - All differences between estimates noted in the text are statistically significant at the 0.05 level …   †   Age differences in hospitaliza on rates were not statistically significant (p <.05) for the following …   ‡   Regional differences in ED visit rates were not statistically significant (p <.05) for the following … Regional differences in hospitalization rates were not statistically significant (p <.05) for the following …     † Regional differences in hospitalization rates were not statistically significant (p<.05) for the
  12. hcup-us.ahrq.gov/reports/statbriefs/sb178-Preventable-Hospitalizations-by-Region.pdf
    September 01, 2014 - All differences between estimates noted in the text, table, and figures are statistically significantsignificant at p<0.05. … significant at p<0.05. … significant at p<0.05. … significant at p<0.05.
  13. hcup-us.ahrq.gov/reports/statbriefs/sb124.jsp
    January 01, 2012 - All differences between estimates noted in the text are statistically significant at the 0.05 level or … decade, the number of hospital stays leveled off between 2008 and 2009 (the apparent decline is not statisticallysignificant). … Differences between income quartile group rates are not statistically significant. … * Difference in rate between male and female groups is not statistically significant.
  14. hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS21993Final.pdf
    April 03, 1997 - For each statistic, a test was performed to determine whether a difference was statistically significant … Moreover, because of the large number of comparisons, some of the statistically significant differences … significant. … The differences are statistically significant for about half of the categories. … Tests of Statistical Significance To test for a statistically significant difference between an NIS
  15. hcup-us.ahrq.gov/reports/statbriefs/sb209-Geographic-Variation-Hospital-Inpatient-Prices.pdf
    November 01, 2015 - All differences between estimates noted in the text are statistically significant at the 0.05 level … significant difference from 1.00 at the 0.05 level or better Note: Divisions are color-coded to represent … significant difference from 1.00 at the 0.05 level or better Note: Divisions are color-coded to represent … significant difference from 1.00 at the 0.05 level or better Note: Divisions are color-coded to represent … All differences between estimates noted in the text are statistically significant at the 0.05 level
  16. hcup-us.ahrq.gov/reports/statbriefs/sb179-Emergency-Department-Trends.jsp
    September 01, 2014 - All differences were statistically significant at p<0.05. … All differences were statistically significant at p<0.05. … All differences were statistically significant at p<0.05. … All differences were statistically significant at p<0.05. … All differences were statistically significant at p<0.05.
  17. hcup-us.ahrq.gov/reports/statbriefs/sb126.jsp
    February 01, 2012 - significant at the 0.05 level or better. … There were no significant changes since 2005. Figure 1. … There were no significant differences between 2005 and 2009 (table 1). … significant at p<0.05 … significant at p<0.05
  18. hcup-us.ahrq.gov/reports/statbriefs/sb5.jsp
    May 01, 2006 - All differences between estimates noted in the text are statistically significant at the 0.05 level or … As shown in table 1, over the seven-year time period from 1997 to 2003, there were no significant shifts … For most circulatory conditions there were no significant differences in in-hospital mortality between … For most conditions, there were no significant differences between men and women in in-hospital mortality … 1997 and 2003 Principal diagnosis Number of hospital stays, overall, 2003 Percent women Significant
  19. hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS41995Final.pdf
    December 21, 1998 - For each statistic, a test was performed to determine whether a difference was statistically significant … Moreover, because of the large number of comparisons, some of the statistically significant differences … Average length of stay estimates from the two sources are not statistically different. … None of the comparisons for average lengths of stay are statistically different. … Tests of Statistical Significance To test for a statistically significant difference between an NIS
  20. hcup-us.ahrq.gov/reports/methods/2008_05.pdf
    January 01, 2008 - The results shaded in yellow below denote statistically significant correlations. … Found in Appendix A, Tables 1-3, column 3: + = positive association, statistically significant at … significant as explained above ns = “Not Significant”, denotes a statistically insignificant association … The number of statistically significant associations for the nine individual PSIs range widely from … Although there is no pattern to which associations are statistically significant or their direction at

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