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Showing results for "consider".

241. Statistical Brief #420: The Uninsured in America, 1996-2012: Estimates for the U.S. Civilian Noninstitutionalized Population under Age 65 (pdf file)
     meps.ahrq.gov/data_files/publications/st420/stat420.pdf
     August 01, 2013 - Statistical Brief #420: The Uninsured in America, 1996-2012: Estimates for the U.S. Civilian Noninstitutionalized Population under Age 65 STATISTICAL BRIEF #420 August 2013 The Uninsured in America, 1996-2012: Estimates for the U.S. Civilian Noninstitutionalized Population under Age 65 May C. Chu Introduction Estim…

242. AHRQ Statistical Brief #290: The Uninsured in America, 1996-2009: Estimates for the U.S. Civilian Noninstitutionalized Population under Age 65 (pdf file)
     meps.ahrq.gov/data_files/publications/st290/stat290.pdf
     August 01, 2010 - AHRQ Statistical Brief #290: The Uninsured in America, 1996-2009: Estimates for the U.S. Civilian Noninstitutionalized Population under Age 65 STATISTICAL BRIEF #290 August 2010 The Uninsured in America, 1996-2009: Estimates for the U.S. Civilian Noninstitutionalized Population under Age 65 May C. Chu and Jeffrey …

243. Chartbook #17: Chartbook #17: Dental Use, Expenses, Dental Coverage, and Changes,1996 and 2004
     meps.ahrq.gov/data_files/publications/cb17/cb17.shtml
     January 01, 2004 - Chartbook #17: Chartbook #17: Dental Use, Expenses, Dental Coverage, and Changes,1996 and 2004   Skip to main content An official website of the Department of Health & Human Services More …

244. Statistical Brief #482: Specialist Need and Access among Adults with Multiple Chronic Conditions, U.S. Civilian Noninstitutionalizied Population, 2012 (pdf file)
     meps.ahrq.gov/data_files/publications/st482/stat482.pdf
     November 01, 2015 - Statistical Brief #482: Specialist Need and Access among Adults with Multiple Chronic Conditions, U.S. Civilian Noninstitutionalizied Population, 2012 1 STATISTICAL BRIEF #482 November 2015 Specialist Need and Access among Adults with Multiple Chronic Conditions, U.S. Civilian Noninstitutionalized Population, 2012 …

245. STATISTICAL BRIEF #257: Characteristics of Uninsured Workers: Estimates for the U.S. Civilian Noninstitutionalized Population 19-64 Years of Age, 2006
     meps.ahrq.gov/data_files/publications/st257/stat257.shtml
     August 01, 2009 - STATISTICAL BRIEF #257: Characteristics of Uninsured Workers: Estimates for the U.S. Civilian Noninstitutionalized Population 19-64 Years of Age, 2006   Skip to main content An official website of the Department of Health & …

246. Statistical Brief #257: Characteristics of Uninsured Workers: Estimates for the U.S. Civilian Noninstitutionalized Population 19-64 Years of Age, 2006 (pdf file)
     meps.ahrq.gov/data_files/publications/st257/stat257.pdf
     August 01, 2009 - Statistical Brief #257: Characteristics of Uninsured Workers: Estimates for the U.S. Civilian Noninstitutionalized Population 19-64 Years of Age, 2006 Medical Expenditure Panel Survey Agency for Healthcare Research and Quality STATISTICAL BRIEF #257 August 2009 1 Characteristics …

247. STATISTICAL BRIEF #257: Characteristics of Uninsured Workers: Estimates for the U.S. Civilian Noninstitutionalized Population 19-64 Years of Age, 2006
     meps.ahrq.gov/data_files/publications/st257/draft/stat257.shtml
     August 01, 2009 - STATISTICAL BRIEF #257: Characteristics of Uninsured Workers: Estimates for the U.S. Civilian Noninstitutionalized Population 19-64 Years of Age, 2006   Skip to main content An official website of the Department of Health & …

248. STATISTICAL BRIEF #300: Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64
     meps.ahrq.gov/data_files/publications/st300/stat300.shtml.bak
     November 01, 2010 - STATISTICAL BRIEF #300: Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64   Skip to main content An official website of the Department of Health & Human Services …

249. Sb300
     meps.ahrq.gov/data_files/publications/st300/sb300.xml
     November 01, 2010 - STATISTICAL BRIEF #300 November 2010 Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64 Jeffrey A. Rhoades, PhD Highlights The age group 16-24 had the lowest percentage of people with workdays lost due to illness, injury, or mental or emoti…

250. STATISTICAL BRIEF #300: Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64
     meps.ahrq.gov/data_files/publications/st300/draft/stat300.shtml
     November 01, 2010 - STATISTICAL BRIEF #300: Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64   Skip to main content An official website of the Department of Health & Human Services …

251. STATISTICAL BRIEF #482: Specialist Need and Access among Adults with Multiple Chronic Conditions, U.S. Civilian Noninstitutionalized Population, 2012
     meps.ahrq.gov/data_files/publications/st482/stat482.shtml
     November 01, 2015 - STATISTICAL BRIEF #482: Specialist Need and Access among Adults with Multiple Chronic Conditions, U.S. Civilian Noninstitutionalized Population, 2012   Skip to main content An official website of the Department of He…

252. Statistical Brief #300: Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64 (pdf file)
     meps.ahrq.gov/data_files/publications/st300/stat300.pdf
     November 01, 2010 - Statistical Brief #300: Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64 STATISTICAL BRIEF #300 November 2010 Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64 Jeffrey A. Rhoades, PhD Introduction …

253. STATISTICAL BRIEF #300: Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64
     meps.ahrq.gov/data_files/publications/st300/stat300.shtml
     November 01, 2010 - STATISTICAL BRIEF #300: Restricted-Activity Days, 2007: Estimates for the U.S. Civilian Noninstitutionalized Population, Ages 16-64   Skip to main content An official website of the Department of Health & Human Service…

254. Introducing the Medical Expenditure Panel Survey-Insurance Component with Administrative Records (MEPS-ICAR): Description, Data Construction Methodology, and Quality Assessment (pdf file)
     meps.ahrq.gov/data_files/publications/mr35/mr35.pdf
     September 02, 2022 - In addition to examining match rates, we also consider a suite of statistics characterizing the matched … We consider there to be no feasible assignment for an establishment if either of these tests fail. … If such an N exists, we assign the N closest workers to the establishment and consider the match complete … Worker-Level Statistics In this section, we consider a set of statistics at the matched-worker level … In particular, this new data allows researchers to consider how differences between a firm’s overall

255. Methodology Report #35: Introducing the Medical Expenditure Panel Survey-Insurance Component with Administrative Records (MEPS-ICAR): Description, Data Construction Methodology, and Quality Assessment
     meps.ahrq.gov/data_files/publications/mr35/mr35.shtml
     September 01, 2022 - In addition to examining match rates, we also consider a suite of statistics characterizing the matched … If such an N exists, we assign the N closest workers to the establishment and consider the match complete … Having assessed some establishment-level employment match statistics, we next consider some statistics … Next, we consider the means and percentiles of the distributions of total family income in the ACS versus … In particular, this new data allows researchers to consider how differences between a firm's overall

256. Wp 05011 Replaced (pdf file)
     meps.ahrq.gov/data_files/publications/workingpapers/wp_05011_replaced.pdf
     March 01, 2005 - In this case one can consider a random effects model or a Bayesian approach based upon such a model. … Addition of this term was prompted by bias found by Prassad and Rao (1990) in formulas which didn’t consider

257. Wp Mar2005 Js (pdf file)
     meps.ahrq.gov/data_files/publications/workingpapers/OLD_WorkingPapers/wp_mar2005_js.pdf
     March 01, 2005 - In this case one can consider a random effects model or a Bayesian approach based upon such a model. … Addition of this term was prompted by bias found by Prassad and Rao (1990) in formulas which didn’t consider

258. STATISTICAL BRIEF #25: Employer-Sponsored Health Insurance Characteristics by Average Payroll for the Private Sector in 2001
     meps.ahrq.gov/data_files/publications/st25/stat25.shtml
     January 01, 2003 - STATISTICAL BRIEF #25: Employer-Sponsored Health Insurance Characteristics by Average Payroll for the Private Sector in 2001   Skip to main content An official website of the Department of Health & Human Services …

259. Sb25
     meps.ahrq.gov/data_files/publications/st25/sb25.xml
     January 01, 2001 - STATISTICAL BRIEF #25 2003 Employer-Sponsored Health Insurance Characteristics by Average Payroll for the Private Sector in 2001 By: John Sommers, Ph.D. Briefly Stated Without exception, the offer, eligibility, and enrollment rates increased across the payroll quartiles--these rates are lowest fo…

260. Sb45
     meps.ahrq.gov/data_files/publications/st45/sb45.xml
     July 01, 2004 - STATISTICAL BRIEF #45 July 2004 The Uninsured in America, 1996-2003: Estimates for the U.S. Population under Age 65 Jeffrey A. Rhoades, PhD and Joel W. Cohen, PhD Highlights The percentage of uninsured Americans under age 65 varied, depending on the definition of the time period for being uninsur…