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181. Sb5
     meps.ahrq.gov/data_files/publications/st5/sb5.xml
     January 01, 2009 - . -- Cell size under 100 observations or standard error equal to or greater than 30 percent. … an eye exam in 2000 through the early part of 2001. -- Cell size under 100 observations or standard error … specific treatments and routine check-ups, 2000 -- Cell size under 100 observations or standard error … an eye exam in 2000 through the early part of 2001. -- Cell size under 100 observations or standard error … specific treatments and routine check-ups, 2000 -- Cell size under 100 observations or standard error

182. STATISTICAL BRIEF #5: Medical Care and Treatment for Chronic Conditions, 2000
     meps.ahrq.gov/data_files/publications/st5/draft/stat05.shtml
     January 01, 2002 - . -- Cell size under 100 observations or standard error equal to or greater than 30 percent. … eye exam in 2000 through the early part of 2001. -- Cell size under 100 observations or standard error … 26.0 14.6 53.8 65 and older -- -- -- -- -- -- Cell size under 100 observations or standard error … eye exam in 2000 through the early part of 2001. -- Cell size under 100 observations or standard error … 3.26 3.05 3.77 65 and older -- -- -- -- -- Cell size under 100 observations or standard error

183. Supporting Healthcare Policy Initiatives through Modeling and Microsimulation Efforts: Issues of Data Capacity and Statistical Quality (pdf file)
     meps.ahrq.gov/data_files/publications/workingpapers/wp_09002.pdf
     August 01, 2009 - are subject to greater levels of uncertainty traditionally associated with sampling and nonsampling error … subject to greater levels of uncertainty traditionally associated with sampling and nonsampling error … Consequently, the error estimates that characterize these model- based estimates should reflect the … The measurement and reporting of these sources of error, and the derivation of estimates of their … Sources of error include sampling error in the MEPS and NHIS files, variation resulting from the data

184. Research Findings #12: Health Care Expenses in the United States, 1996
     meps.ahrq.gov/data_files/publications/rf12/rf12.shtml
     December 01, 2000 - The statistics presented in this report are affected by both sampling error and sources … of nonsampling error, which include nonresponse bias, respondent reporting errors, and … Standard Error Tables Table A. … 1996 (continued) Corresponds to Table 2 † Standard error … : United States, 1996 (continued) Corresponds to Table 6 † Standard error

185. Average Annual Total Expenses, Total Utilization, and Sources of Payment for Outpatient Prescription Opioids in the U.S. Adult Civilian Noninstitutionalized Population, 2021-2022
     meps.ahrq.gov/data_files/publications/st559/stat559.shtml
     February 01, 2025 - MEPS-HC survey design, sample design, and methods used to minimize sources of nonsampling error … containing specific opioids ranked by annual total expenses in 2021-2022; * Relative standard error … Outpatient Prescription Opioids 27.4 38.6 18.0 10.0 6.1* Note: * Relative standard error … Hydrocodone 12.4 43.9 28.6 12.6 2.5 Tramadol 13.1 49.5 23.9 10.2 3.3* Notes: *Relative standard error

186. Wp 05010 Replaced (pdf file)
     meps.ahrq.gov/data_files/publications/workingpapers/wp_05010_replaced.pdf
     February 01, 2005 - bSE=standard error. … cSE=standard error. … cSE=standard error. … bSE=standard error. … bSE=standard error.

187. Wp Feb2005 Fmc (pdf file)
     meps.ahrq.gov/data_files/publications/workingpapers/OLD_WorkingPapers/wp_feb2005_fmc.pdf
     February 01, 2005 - bSE=standard error. … cSE=standard error. … cSE=standard error. … bSE=standard error. … bSE=standard error.

188. 2022 Health Insurance Cost Study Plan Information Questionnaire (pdf file)
     meps.ahrq.gov/survey_comp/ic_survey/2022/meps11s.pdf
     January 01, 2022 - Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel … Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel … Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel … Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel … Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel

189. Research Findings #3: Access to Health Care - Sources and Barriers, 1996
     meps.ahrq.gov/data_files/publications/rf3/rf3.shtml
     February 01, 2006 - *Relative standard error is greater than or equal to 30 percent. … * Relative standard error is greater than or equal to 30 percent.   … The statistics presented in this report are affected by both sampling error and sources … design, the adopted sample design, and methods used to minimize sources of nonsampling error …                 ^top Standard Error

190. Research Findings #20: Dental Services: Use, Expenses, and Sources of Payment, 1996-2000 (pdf file)
     meps.ahrq.gov/data_files/publications/rf20/rf20.pdf
     January 01, 2004 - . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Standard Error … income, over 400 percent of the poverty line. e For individuals ages 16 and over. * Relative standard error … income, over 400 percent of the poverty line. e For individuals ages 16 and over. * Relative standard error … * Relative standard error is greater than or equal to 30 percent. … Standard Error Tables 33 34 Ta bl e A .

191. Research Findings #1: Health Insurance Status of the Civilian Noninstitutionalized Population: 1996
     meps.ahrq.gov/data_files/publications/rf1/rf1.shtml
     February 01, 2006 - The statistics presented in this report are affected by both sampling error and sources of nonsampling … *Relative standard error is greater than or equal to 30 percent. … *Relative standard error is greater than or equal to 30 percent. … *Relative standard error is greater than or equal to 30 percent. … *Relative standard error is greater than or equal to 30 percent.

192. MEPS (rtf file)
     meps.ahrq.gov/data_files/publications/rf21/tablea.rtf
     June 08, 2021 - Event type expenses expenses expenses expenses Standard error

193. Tablea
     meps.ahrq.gov/data_files/publications/rf21/tablea.txt
     June 08, 2021 - Event type expenses expenses expenses expenses Standard error

194. MEPS summary tables
     meps.ahrq.gov/mepstrends/hc_cond_icd10/
     December 01, 2021 - * Relative standard error is greater than 30% Download plot Please choose

195. Medical Expenditure Panel Survey Publication Details
     meps.ahrq.gov/mepsweb/data_stats/Pub_ProdResults_Details.jsp?pt=Working+Paper&opt=2&id=748
     June 15, 2006 - in the MEPS-HC, data from year to year are correlated and additional sample has less effect on total error

196. 2023 Health Insurance Cost Study Government Questionnaire (pdf file)
     meps.ahrq.gov/survey_comp/ic_survey/2023/meps11.pdf
     January 01, 2023 - Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel … Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel … Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel … Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel … Web Coated \050SWOP\051 v2) /sRGBProfile (sRGB IEC61966-2.1) /CannotEmbedFontPolicy /Error /CompatibilityLevel

197. Understanding Veterans’ Healthcare Use and Experience, 2018–2019 (pdf file)
     meps.ahrq.gov/data_files/publications/rf50/rf50.pdf
     November 01, 2022 - Abbreviations: n = unweighted count; SE = standard error; FPL = Federal Poverty Level; GED = Graduate … Abbreviations: n = unweighted count; SE = standard error; FPL = Federal Poverty Level; GED = Graduate … Abbreviations: n = unweighted count; SE = standard error; FPL = Federal Poverty Level; GED = Graduate … Abbreviations: n = unweighted count; SE = standard error; VA = Department of Veterans Affairs; COPD = … Abbreviations: SE = standard error; VA = Department of Veteran Affairs. 36 Table 5.

198. Research Findings #8: Health Insurance Status of the Civilian Noninstitutionalized Population: 1997 (pdf file)
     meps.ahrq.gov/data_files/publications/rf8/rf8.pdf
     July 01, 1999 - . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Population and Standard Error … 2,522 42.6 55.7 *1.7 a Includes persons with unknown perceived health status. * Relative standard error … The statistics presented in this report are affected by both sampling error and sources of nonsampling … MEPS survey design, the adopted sample design, and methods used to minimize sources of nonsampling error … of 1997 Corresponds to Table 1 Population characteristic Private Public only Uninsured Standard error

199. Working Paper 14003: Evaluation of 2014 Refresher Training: Descriptive Analysis (pdf file)
     meps.ahrq.gov/data_files/publications/workingpapers/wp_14003.pdf
     December 01, 2014 - interviewer behaviors and skills, and interviewing procedural changes geared towards minimizing recall error … The content drew largely from literature on memory, recall error, and measurement error. …  Conceptual or theory-based sessions addressing the reasons for and correlates of underreporting error … Given the focus on minimizing recall error, the analysis keeps the relative recall periods across panels … Not all types of health care are as prone to recall error.

200. Research Findings #24: Utilization and Expenditures for Children with Special Health Care Needs
     meps.ahrq.gov/data_files/publications/rf24/rf24.shtml
     January 01, 2006 - that each individual significance test was conducted at the 0.05 level, which does not control the error … The statistics presented in this report are affected by both sampling error and sources of nonsampling … error, which include nonresponse bias, respondent reporting errors (response errors), and data processing … The sampling error, however, can be measured by the variance of the estimator.