-
meps.ahrq.gov/data_files/publications/st183/stat183.pdf
August 01, 2007 - Findings
According to the MEPS-HC for 2004 and 2005, 31.8 percent (82.0
million people, estimate … during the full two-year period
(calendar years 2004 and 2005), and 10.1 percent (26.1 million
people, estimate … This translates to 6.8 percent (17.4 million
people, estimate not shown) of the total population under
-
meps.ahrq.gov/data_files/publications/st123/stat123.pdf
March 01, 2006 - Findings
In According to the MEPS-HC for 2002 and 2003, 31.6 percent (79.6
million people, estimate … during the full two-year period
(calendar year 2002 and 2003) and 9.6 percent (24.2 million people,
estimate … This translates to 6.2
percent (15.6 million people, estimate not shown) of the total
population under
-
meps.ahrq.gov/data_files/publications/st464/stat464.shtml
December 01, 2014 - Findings
According to the MEPS-HC for 2011 and 2012, 31.4 percent (84.3 million people, estimate not … month during the two-year period (calendar years 2011 and 2012), and 11.7 percent (31.3 million people, estimate … This translates to 8.3 percent (22.2 million people, estimate not shown) of the total population under
-
meps.ahrq.gov/mepsweb/survey_comp/standard_errors.jsp
January 01, 2005 - variables to obtain weighted estimates and to implement a
Taylor-series approach to estimate … Statistical software packages that
are commonly used to estimate standard errors from
-
meps.ahrq.gov/survey_comp/standard_errors.jsp
January 01, 2005 - variables to obtain weighted estimates and to implement a
Taylor-series approach to estimate … Statistical software packages that
are commonly used to estimate standard errors from
-
meps.ahrq.gov/data_files/publications/st424/stat424.shtml
November 01, 2013 - Findings
According to the MEPS-HC for 2010 and 2011, 31.5 percent (84.5 million people, estimate … month during the two-year period (calendar years 2010 and 2011), and 11.5 percent (30.8 million people, estimate … This translates to 7.6 percent (20.4 million people, estimate not shown) of the total population under
-
meps.ahrq.gov/survey_comp/hc_clustering_faq.pdf
June 01, 2000 - often
used in analyzing clustered-correlated data to account for correlation and, in some cases, to estimate
-
meps.ahrq.gov/data_files/publications/st67/stat67.pdf
January 01, 2005 - According to the MEPS-HC for 2001 and 2002, nearly one-third or
31.9 percent (79.8 million people, estimate … Of the total population under age 65, 9.9
percent (24.6 million people, estimate not shown) were uninsured
-
meps.ahrq.gov/data_files/publications/mr28/mr28.shtml
October 01, 2013 - An unbiased estimate of a total from the sample can be found
by calculating the weighted sum from the … As stated by Wolter (1985), the random group estimator of
the variance of the estimate, , is
where … k is the number of random groups (10), is
the estimate based on the entire sample, and is
the … estimate based on the cases in random group α. … The relative standard
error of the estimate is then
The choice of using ten random groups is made
-
meps.ahrq.gov/data_files/publications/mr2/mr2.shtml
January 01, 2002 - For the 1996 MEPS sample, the relative standard
error for a population estimate of 20 percent … specified to be no more than 2.7 percent, and the relative standard
error for a population estimate … For example, if the estimate of the percentage of the national population
uninsured at any … time during 1996 were 20 percent, the standard error
of the estimate should not exceed … -percent confidence interval (19.33 percent, 20.67 percent)
for the insurance coverage estimate
-
meps.ahrq.gov/data_files/publications/st108/stat108.pdf
January 01, 2006 - 14.6 percent of eligible employees in 200
employee-plus-one plans were included with family coverage) (estimate … percent of
employees had coverage through an employee-plus-one plan that required no contribution (estimate
-
meps.ahrq.gov/data_files/publications/st104/stat104.pdf
December 01, 2005 - Findings
According to the MEPS-HC for 2002 and 2003, 31.6 percent (79.6
million people, estimate … Of the total population under age 65,
9.6 percent (24.2 million people, estimate not shown) were unin
-
meps.ahrq.gov/data_files/publications/st83/stat83.pdf
July 01, 2005 - percent of the U.S. civilian noninstitutionalized
population (48.3 million people) were uninsured (estimate
-
meps.ahrq.gov/data_files/publications/st290/stat290.pdf
August 01, 2010 - The estimate of the number
of people uninsured varied substantially depending on the time period
-
meps.ahrq.gov/mepsweb/data_stats/data_center_application.jsp
November 23, 2022 - A cost estimate will be provided
once the application is approved.
-
meps.ahrq.gov/data_stats/data_center_application.jsp
November 23, 2022 - A cost estimate will be provided
once the application is approved.
-
meps.ahrq.gov/data_files/publications/mr2/mr2.pdf
January 01, 2002 - For the 1996 MEPS sample, the relative standard
error for a population estimate of 20 percent for the … level was specified to be
no more than 2.7 percent, and the relative standard error
for a population estimate … For example, if the estimate of
the percentage of the national population uninsured at
any time during … 1996 were 20 percent, the standard error
of the estimate should not exceed 0.34 percent. … translate to a 95-percent confidence interval
(19.33 percent, 20.67 percent) for the insurance coverage
estimate
-
meps.ahrq.gov/data_files/publications/st548/stat548.shtml
May 01, 2023 - year
* Statistically significant vs. 2020 at alpha=0.05
Note: Estimate
-
meps.ahrq.gov/data_files/publications/cb7/cb7.shtml
October 01, 2001 - Although data are collected in each State each year in order to make a reliable national estimate, … significantly above the national average of $2,174 because of the large standard error for the Alaska estimate … because it has a much smaller standard error ($45) than Alaska, even though the District of Columbia estimate … is smaller than the Alaska estimate.
-
meps.ahrq.gov/survey_comp/hc_survey/paper_quest/2015/2015_DCS_ENG.pdf
January 01, 2015 - Send comments regarding this burden estimate or any other aspect of this collection of information,
including