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Showing results for "statistically significant".

  1. 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.
  2. hcup-us.ahrq.gov/reports/statbriefs/sb24.jsp
    January 01, 2007 - All differences between estimates noted in the text are statistically significant at the 0.05 level or
  3. hcup-us.ahrq.gov/reports/methods/2006_3.pdf
    January 01, 2006 - When viewing results, readers should note that statistically significant differences between the KID … count, average length of stay, in-hospital mortality rate, and average total charge measures were statisticallyStatistically significant differences can be expected for several reasons: • Random variation between … No statistically significant differences were observed for ALOS comparisons. … Tests of Statistical Significance To test for a statistically significant difference between a KID estimate
  4. hcup-us.ahrq.gov/reports/statbriefs/sb149.jsp
    February 01, 2013 - All differences between estimates noted in the text are statistically significant at the .001 level or
  5. hcup-us.ahrq.gov/reports/statbriefs/sb155.jsp
    May 01, 2013 - All differences between estimates noted in the text are statistically significant at the 0.05 level or
  6. hcup-us.ahrq.gov/db/nation/nis/reports/2004niscomparisonrpt.jsp
    May 01, 2016 - Some significant differences between the states excluded and included in the NIS may explain several … When viewing results, readers should note that statistically significant differences between the NIS … estimates of discharge count, average length of stay, and in-hospital mortality rate measures were statistically … The NIS also contains significant numbers of discharges for which race was missing (26 percent). … Of more than 80 comparisons, few significant ALOS differences were observed in any year.
  7. hcup-us.ahrq.gov/reports/statbriefs/sb56.pdf
    July 01, 2008 - All differences between estimates noted in the text are statistically significant at the 0.05 level … This is a significant change since 2000 when private insurance was billed for 52 percent of children
  8. hcup-us.ahrq.gov/reports/methods/2008_03.pdf
    January 01, 2008 - The correlation of the AS CCR with the inpatient CCR across hospitals was statistically significant … Three of the states had significant differential effects from the other states. … The correlation of the AS CCR with the inpatient CCR across hospitals was statistically significant … Three of the states had significant differential effects from the other states. … The size of these three state “effects”, is statistically significant and as large as any other determinants
  9. hcup-us.ahrq.gov/reports/statbriefs/sb260-Social-Determinants-County-Opioid-Rates-Hospital-Use-2016.pdf
    January 01, 2016 - Based on whether the county population rates were statistically significantly higher than, lower than … , or similar to (i.e., not statistically significantly different from) the national average, counties … All differences between estimates noted in the text are statistically significant at the .05 level or … Counties with population rates that were statistically significantly above the U.S. average rate were … Counties with population rates that were statistically significantly below the U.S. average rate were
  10. hcup-us.ahrq.gov/reports/statbriefs/sb104.pdf
    January 04, 2011 - All differences between estimates provided in the text are statistically significant at the 0.05 level … There was no significant difference between the costs for Medicaid hospitalizations and uninsured hospital
  11. hcup-us.ahrq.gov/reports/methods/2007_03.pdf
    January 01, 2007 - Some significant differences between the states excluded and included in the NIS may explain several … When viewing results, readers should note that statistically significant differences between the NIS … estimates of discharge count, average length of stay, and in-hospital mortality rate measures were statistically … The NIS also contains significant numbers of discharges for which race was missing (26 percent). … Of more than 80 comparisons, few significant ALOS differences were observed in any year.
  12. hcup-us.ahrq.gov/reports/statbriefs/sb87.pdf
    March 01, 2010 - All differences between estimates provided in the text are statistically significant at the 0.05 level … Conditions are grouped by the delay in treatment, beginning with conditions for which there was no significant … Subsequent entries list conditions with a statistically significant delay in treatment for the day of … The treatment delays for patients admitted on weekends versus weekdays were significant for angina, … 35% 35% 32% Uninsured 6% 6% 7% Other 3% 4% 3% *Differences between weekday and weekend admissions significant
  13. hcup-us.ahrq.gov/reports/statbriefs/sb57.jsp
    July 01, 2008 - the spinal fluid or brain, the inflamed tissue can block blood vessels in the brain, which may cause significant … All differences between estimates noted in the text are statistically significant at the 0.05 level or
  14. hcup-us.ahrq.gov/reports/statbriefs/sb95.pdf
    September 01, 2010 - Few significant differences were found by public hospital location for these services (table 6), with … For example, certain types of infections are considered a more significant problem in a patient who … of Hospitals, 2008 † Using a Z-test, all differences from private, not-for-profit hospitals are significant … Nationwide Inpatient Sample, 2008 † Using a Z-test, difference from private, not-for-profit hospitals is significant … Survey of Hospitals, 2008 † Using a Z-test, difference from private, not-for-profit hospitals is significant
  15. hcup-us.ahrq.gov/reports/statbriefs/sb148.jsp
    January 01, 2013 - All differences between estimates noted in the text are statistically significant at the .001 level or
  16. hcup-us.ahrq.gov/reports/statbriefs/sb146.jsp
    January 01, 2013 - All differences between estimates noted in the text are statistically significant at the .001 level or
  17. hcup-us.ahrq.gov/reports/statbriefs/sb110.pdf
    April 01, 2011 - All differences between estimates noted in the text are statistically significant at the 0.05 level … ¶Differences from private insurance, Northeast, and age group 18 44, respectively, not statisticallysignificant at p < 0.05. … †Differences from Northeast rates not statistically significant at the 0.05 level.
  18. hcup-us.ahrq.gov/reports/statbriefs/sb16.jsp
    November 16, 2006 - All differences between estimates noted in the text are statistically significant at the 0.05 level or
  19. hcup-us.ahrq.gov/reports/methods/2011_06.pdf
    January 01, 2011 - 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 … Taken together, the coding factors accounted for one-third (33 percent) of statistically significant
  20. hcup-us.ahrq.gov/reports/methods/2010_06.pdf
    January 01, 2010 - 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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