-
hcup-us.ahrq.gov/reports/natstats/commdx/table2h.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table2b.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table1j.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table2f.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table2g.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table1h.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table1i.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table2j.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table2d.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/natstats/commdx/table2e.htm
February 11, 2011 - (Denominator is all discharges.)
( 4 ) S.E. is standard error.
-
hcup-us.ahrq.gov/reports/statbriefs/sb23.jsp
December 23, 2007 - Statistical Brief #23
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hcup-us.ahrq.gov/db/nation/kid/reports/KID_2003_Design_Edited_013006.pdf
January 01, 2003 - Consequently, in the NIS outcomes can be estimated without sampling error for
individual hospitals that … Unbiased estimates of error variance are
then obtained by comparing the actual values to the predicted
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2004_Design_Report.jsp
January 01, 2004 - Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
-
hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2005_Design_Report.jsp
January 01, 2005 - Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
-
hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_2009_MaskedStats_Core_Weighted.PDF
January 01, 2009 - 2
Means of Continuous Data Elements
Statistics
Variable Label N N Miss Minimum Maximum Mean
Std
Error … 3
Means of Continuous Data Elements
Statistics
Variable Label N N Miss Minimum Maximum Mean
Std
Error … 4
Means of Continuous Data Elements
Statistics
Variable Label N N Miss Minimum Maximum Mean
Std
Error … 5
Means of Continuous Data Elements
Statistics
Variable Label N N Miss Minimum Maximum Mean
Std
Error … 6
Means of Continuous Data Elements
Statistics
Variable Label N N Miss Minimum Maximum Mean
Std
Error
-
hcup-us.ahrq.gov/db/nation/neds/NEDS2017Introduction.pdf
December 01, 2019 - built-in zip utility in Windows®
(Windows Explorer) or Macintosh® (Archive Utility) will produce an error … Unbiased estimates of error variance are then
obtained by comparing the actual values to the predicted
-
hcup-us.ahrq.gov/db/nation/nass/2020_NASS_Introduction.pdf
January 01, 2020 - built-in zip utility in
Windows® (Windows Explorer) or Macintosh® (Archive Utility) will produce an error … Unbiased estimates of error variance then are
obtained by comparing the actual values to the predicted
-
hcup-us.ahrq.gov/db/nation/neds/NEDS2020Introduction.pdf
September 01, 2022 - built-in zip utility in
Windows® (Windows Explorer) or Macintosh® (Archive Utility) will produce an error … Unbiased estimates of error variance are then
obtained by comparing the actual values to the predicted
-
hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2019.jsp
January 01, 2019 - built-in zip utility in Windows® (Windows Explorer) or Macintosh® (Archive Utility) will produce an error … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
-
hcup-us.ahrq.gov/db/nation/nass/2019_NASS_Introduction.pdf
January 01, 2019 - built-in zip utility in
Windows® (Windows Explorer) or Macintosh® (Archive Utility) will produce an error … Unbiased estimates of error variance then are
obtained by comparing the actual values to the predicted