Vital and health statistics. Series 2, Data evaluation and methods research最新文献_第4页

Adjusting National Health and Nutrition Examination Survey sample weights for women of childbearing age. 调整全国育龄妇女健康与营养调查样本权重。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2013-05-01

Jennifer Parker, Amy Branum, Daniel Axelrad, Jonathan Cohen

{"title":"Adjusting National Health and Nutrition Examination Survey sample weights for women of childbearing age.","authors":"Jennifer Parker, Amy Branum, Daniel Axelrad, Jonathan Cohen","doi":"","DOIUrl":"","url":null,"abstract":"Background: Maternal risk factors have been tabulated for women of childbearing age using defined age ranges. However, statistics for factors strongly related to age may be overly influenced by values for the youngest and oldest women in a range, because pregnancies are most likely for ages 20-35.Objective: This report evaluates adjustment methods, based on the probability of pregnancy, for calculating estimates of risk factors for women of childbearing age.Methods: Adjusted and unadjusted estimates for environmental and nutritional variables were calculated from the 1999-2008 National Health and Nutrition Examination Survey (NHANES) for women aged 16-49. U.S. births were used to determine the probability of pregnancy.Results: Adjusted and unadjusted estimates differed for some, but not all, examined variables. More marked differences were observed for the environmental variables compared with the nutritional variables. Adjusted estimates were within about 5% of the unadjusted estimates for the nutritional variables. Adjusted geometric means for lead and mercury were about 7%-10% lower, and for polychlorinated biphenyl (or PCB) about 25% lower, than their respective unadjusted geometric means. With few exceptions, different adjustment methods led to similar estimates.Conclusion: When calculating statistics for women of childbearing age, the decision to adjust for age or not to adjust appears to be more important than the choice of adjustment method. Although the results suggest only small differences among adjustment methods, approaches based on the NHANES design and sample weighting methodology may be the most robust for other applications.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 157","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32562172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nonresponse in the National Survey of Children's Health, 2007. 2007年全国儿童健康调查中没有回应。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2012-06-01

Benjamin J Skalland, Stephen J Blumberg

{"title":"Nonresponse in the National Survey of Children's Health, 2007.","authors":"Benjamin J Skalland, Stephen J Blumberg","doi":"","DOIUrl":"","url":null,"abstract":"Objectives: For random-digit-dial telephone surveys, the increasing difficulty in contacting eligible households and obtaining their cooperation raises concerns about the potential for nonresponse bias. This report presents an analysis of nonresponse bias in the 2007 National Survey of Children's Health, a module of the State and Local Area Integrated Telephone Survey conducted by the Centers for Disease Control and Prevention's National Center for Health Statistics.Methods: An attempt was made to measure bias in six key survey estimates using four different approaches: comparison of response rates for subgroups, use of sampling frame data, study of variation within the existing survey, and comparison of survey estimates with similar estimates from another source.Results: Even when nonresponse-adjusted survey weights were used, the interviewed population was more likely to live in areas associated with higher levels of home ownership, lower home values, and greater proportions of non-Hispanic white persons when compared with the nonresponding population. Bias was found (although none greater than 3%) in national estimates of the proportion of children in excellent or very good health, those with consistent health insurance coverage, and those with a medical home. However, the level and direction of the bias depended on the approach used to measure it. There was no evidence of significant bias in the proportion of children with preventive medical care visits, those with families who ate daily meals together, or those living in safe neighborhoods.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 156","pages":"1-22"},"PeriodicalIF":0.0,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30994344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The National Health and Nutrition Examination Survey: Sample Design, 1999-2006. 1999-2006年全国健康与营养检查调查:样本设计。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2012-05-01

Lester R Curtin, Leyla K Mohadjer, Sylvia M Dohrmann, Jill M Montaquila, Deanna Kruszan-Moran, Lisa B Mirel, Margaret D Carroll, Rosemarie Hirsch, Susan Schober, Clifford L Johnson

{"title":"The National Health and Nutrition Examination Survey: Sample Design, 1999-2006.","authors":"Lester R Curtin, Leyla K Mohadjer, Sylvia M Dohrmann, Jill M Montaquila, Deanna Kruszan-Moran, Lisa B Mirel, Margaret D Carroll, Rosemarie Hirsch, Susan Schober, Clifford L Johnson","doi":"","DOIUrl":"","url":null,"abstract":"Background: Data collection for the National Health and Nutrition Examination Survey (NHANES) comprises three levels: a household screener, an interview, and a physical examination. The primary objective of the screener is to determine whether any household members are eligible for the interview and examination. Eligibility is determined by the preset selection probabilities for the desired demographic subdomains. After selection as an eligible sample person, the interview collects person-level demographic, health, and nutrition information as well as information about the household. The examination includes physical measurements, tests such as eye and dental examinations, and the collection of blood and urine specimens for laboratory testing.Objectives: This report will first describe the broad design specifications for the 1999-2006 survey including survey objectives, domain and precision specifications, operational requirements, sample design, and estimations procedures. Details of the sample design are divided into two sections. The first section (NHANES 1999-2001 Sample Design) broadly describes the sample design and various design changes during the first three years of the continuous NHANES (1999-2001). The second section (NHANES 2002-2006 Sample Design) describes the final sample design developed and applied for 2002-2006. Weighting and variance estimation procedures are presented in the same manner; however, to correspond to the public data release cycles, the weighting and variance sections are separated into those used for 1999-2002, and those used for 2003-2006. Much of this report is based on survey operations documents and sample design reports prepared by Westat. Documentation of the survey content, procedures, and methods to assess nonsampling errors are reported elsewhere.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 155","pages":"1-39"},"PeriodicalIF":0.0,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30756203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

NCHS urban-rural classification scheme for counties. 全国人口健康调查城乡分类方案。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2012-01-01

Deborah D Ingram, Sheila J Franco

{"title":"NCHS urban-rural classification scheme for counties.","authors":"Deborah D Ingram, Sheila J Franco","doi":"","DOIUrl":"","url":null,"abstract":"Objectives: This report details the National Center for Health Statistics' (NCHS) development of the 2006 NCHS Urban-Rural Classification Scheme for Counties and provides some examples of how the scheme can be used to describe differences in health measures by urbanization level.Methods: The 2006 NCHS urban-rural classification scheme classifies all U.S. counties and county-equivalents into six levels--four for metropolitan counties and two for nonmetropolitan counties. The Office of Management and Budget's delineation of metropolitan and nonmetropolitan counties forms the foundation of the scheme. The NCHS scheme also uses the cut points of the U.S. Department of Agriculture Rural-Urban Continuum Codes to subdivide the metropolitan counties based on the population of their metropolitan statistical area (MSA): large, for MSA population of 1 million or more; medium, for MSA population of 250,000-999,999; and small, for MSA population below 250,000. Large metro counties were further separated into large central and large fringe metro categories using classification rules developed by NCHS. Nonmetropolitan counties were assigned to two levels based on the Office of Management and Budget's designated micropolitan or noncore status. The 2006 scheme was applied to data from the National Vital Statistics System (NVSS) and the National Health Interview Survey (NHIS) to illustrate its ability to capture health differences by urbanization level.Results and conclusions: Application of the 2006 NCHS scheme to NVSS and NHIS data shows that it identifies important health disparities among communities, most notably those for inner city and suburban communities. The design of the NCHS Urban-Rural Classification Scheme for Counties makes it particularly well-suited for assessing and monitoring health differences across the full urbanization continuum.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 154","pages":"1-65"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30754013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transitions between childlessness and first birth: three generations of U.S. women. 从没有孩子到第一个孩子的转变:三代美国妇女。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2011-08-01

Sharon E Kirmeyer, Brady E Hamilton

{"title":"Transitions between childlessness and first birth: three generations of U.S. women.","authors":"Sharon E Kirmeyer, Brady E Hamilton","doi":"","DOIUrl":"","url":null,"abstract":"Objective: This report analyzes the patterns of childlessness, and conversely, the first-birth patterns of three birth cohorts of American women. For this report, a cohort refers to women born in the same year. The cohorts compared were women born in 1910, 1935, and 1960-who, consequently, turned 25 during the Great Depression, the Baby Boom, and lastly, the post-Baby Boom period. The purpose of the report is to explore the differences in fertility characteristics of these three generations of women and to consider those differences in light of the social and economic conditions at the time.Methods: Life table methodology, including the probability of having a first birth, the number of women remaining childless, and the expected number of years to remain childless, was applied to each of the three birth cohorts for comparison. Techniques extended from life table functions were also used and included measures of first-birth concentration as well as comparisons between childlessness and the total fertility rate (TFR). Data were based on the Centers for Disease Control and Prevention's National Center for Health Statistics tables on cohort fertility.Results: Of the three birth cohorts studied, the women born in 1910 had the highest proportion childless and a low TFR. In contrast, the women born in 1935 had both the lowest proportion childless and the highest TFR. The fertility of women who were born in 1960 is characterized as intermediate to the other cohorts in terms of childlessness, but is distinct with both lowest levels of childbearing and oldest ages of first births. First-time childbearing is more concentrated (that is, least spread out) by age of mother for the 1910 and 1935 cohorts than the 1960 cohort. Finally, data for all U.S. birth cohorts 1910-1960 suggest that the greater the proportion childless in a cohort; the lower the TFR.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 153","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30157037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

United States life tables by Hispanic origin. 西班牙裔美国人的生命表。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2010-10-01

Elizabeth Arias

{"title":"United States life tables by Hispanic origin.","authors":"Elizabeth Arias","doi":"","DOIUrl":"","url":null,"abstract":"Objectives: This report presents complete period life tables by Hispanic origin, race for the non-Hispanic white and non-Hispanic black populations, and sex for the United States based on age-specific death rates in 2006.Methods: The methods used to estimate the probability of death for ages 0-80 for the Hispanic population and 0-65 for the non-Hispanic white and non-Hispanic black populations are the same as those used in annual U.S. life tables since 1997, with an important modification. Age-specific death rates are first corrected for racial and ethnic misclassification on U.S. death certificates. To address the effects of age misstatement at the oldest ages, the methodology used to estimate mortality for ages 66 and over for the non-Hispanic white and non-Hispanic black populations is the same as that used to estimate the annual life tables since 2005. For the Hispanic population, the probability of death for ages over 80 is estimated as a function of non-Hispanic white mortality with the use of the Brass relational logit model.Results: Life expectancy at birth for the total population in 2006 was 77.7 years; 80.6 years for the Hispanic population, 78.1 years for the non-Hispanic white population, and 72.9 years for the non-Hispanic black population. The Hispanic population has a life expectancy advantage at birth of 2.5 years over the non-Hispanic white population and 7.7 years over the non-Hispanic black population. Although seemingly paradoxical, these results are consistent with the findings of numerous studies which show a Hispanic mortality advantage despite this population's lower socioeconomic status. Nonetheless, the procedures used in this report to correct for racial and ethnic misclassification and age misstatement are not error free and therefore some of the observed advantage may still be a function of data artifact. This report does not address other factors that may explain the Hispanic mortality advantage.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 152","pages":"1-33"},"PeriodicalIF":0.0,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29666496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The 2006-2010 National Survey of Family Growth: sample design and analysis of a continuous survey. 2006-2010年全国家庭成长调查:连续调查的样本设计与分析。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2010-06-01

James M Lepkowski, William D Mosher, Karen E Davis, Robert M Groves, John Van Hoewyk

{"title":"The 2006-2010 National Survey of Family Growth: sample design and analysis of a continuous survey.","authors":"James M Lepkowski, William D Mosher, Karen E Davis, Robert M Groves, John Van Hoewyk","doi":"","DOIUrl":"","url":null,"abstract":"Objective: The National Survey of Family Growth (NSFG) collects data on pregnancy, childbearing, men's and women's health, and parenting from a national sample of women and men 15-44 years of age in the United States. This report describes the sample design for the NSFG's new continuous design and the effects of that design on weighting and variance estimation procedures. A working knowledge of this information is important for researchers who wish to use the data. Two data files are being released--the first covering 2.5 years (30 months) of data collection and the second after all data have been collected. This report is being released with the first data file. A later report in this Series will include specific results of the weighting, imputation, and variance estimation.Methods: The NSFG's new design is based on an independent, national probability sample of women and men 15-44 years of age. Fieldwork was carried out by the University of Michigan's Institute for Social Research (ISR) under a contract with the National Center for Health Statistics (NCHS). In-person, face-to-face interviews were conducted by professional female interviewers using laptop computers.Results: Analysis of NSFG data requires the use of sampling weights and estimation of sampling errors that account for the complex sample design and estimation features of the survey. Sampling weights are provided on the data files. The rate of missing data in the survey is generally low. However, missing data were imputed for about 600 key variables (called \"recodes\") that are used for most analyses of the survey. Imputation was accomplished using a multiple regression procedure with software called IVEware, available from the University of Michigan website.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 150","pages":"1-36"},"PeriodicalIF":0.0,"publicationDate":"2010-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29337200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Education reporting and classification on death certificates in the United States. 美国死亡证明的教育报告和分类。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2010-05-01

Brian L Rostron, John L Boies, Elizabeth Arias

{"title":"Education reporting and classification on death certificates in the United States.","authors":"Brian L Rostron, John L Boies, Elizabeth Arias","doi":"","DOIUrl":"","url":null,"abstract":"Objectives-This report analyzes education reporting and classification on the death certificate and their effect on estimates of mortality and life expectancy by education level in the United States. Methods-The National Longitudinal Mortality Study (NLMS) was used to analyze education information on the death certificate for participants in the Current Population Survey (CPS) from 1992 through 1998 who died by the end of 1998. Educational attainment reported on the death certificate for these persons was compared to their educational attainment reported in the CPS. NLMS wasalsousedtocalculate classification ratios consisting of the number of deaths by education level in the CPS compared to the number of deaths by education level on the death certificate. These classification ratios were then used to produce estimates of life expectancy by education level for the United States in 2005, adjusted for probable education misreporting on the death certificate. Results-Comparison of educational attainment from the death certificate and CPS shows differences due to the different classification systems used in the two sources and probable misreporting on the death certificate. The difference is most pronounced regarding graduation from high school. Black and Hispanic persons at the high school graduate level appear to be more likely than other racial or ethnic groups to have their educational attainment underreported on the death certificate as less than 4 years of high school completed. Adjusted estimates for the U.S. population show a large disparity in life expectancy by education level, on the order of 10-12 years for females and 11-16 years for males. ","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 151","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2010-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32561306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Linkage of the Third National Health and Nutrition Examination Survey to air quality data. 第三次全国健康与营养调查与空气质量数据的联动。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2008-11-01

Nataliya Kravets, Jennifer D Parker

{"title":"Linkage of the Third National Health and Nutrition Examination Survey to air quality data.","authors":"Nataliya Kravets, Jennifer D Parker","doi":"","DOIUrl":"","url":null,"abstract":"Objectives: This report describes the linked data file obtained as a result of combining air pollution data and National Health and Nutrition Examination Survey (NHANES) III data.Methods: Average annual air pollution exposures to particulate matter consisting of particles smaller than 10 micrometers in diameter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were created for NHANES III examined persons by averaging values from monitors within a 5-, 10-, 15-, and 20-mile radius from the block-group centroid of their residence and in the county of their residence. Percentage records geocoded to block-group level, percentage records linked to air pollution, and distributions of exposure values were estimated for the total sample and various demographic groups.Results: The percentages of respondents who were assigned countywide air pollution values ranges from a low of 43 percent in the case of NO2 data to a high of 68 percent in the case of PM10 data. Among the pollutants considered, PM10 data provides the best coverage. Of all the metrics created, the highest coverage is achieved by averaging readings of monitors located within a 20-mile distance from the centroid of respondents' block groups. Among the demographic variables analyzed, differences in air pollution coverage and exposure levels occur most often among groups defined by race and Hispanic origin, region, and county level of urbanization. However, differences among groups depend on the pollutant and geographic linkage method. The linked dataset provides researchers with opportunities to investigate the relationship between air pollution and various health outcomes.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 149","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28117902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mortality experience of the 1986-2000 National Health Interview Survey Linked Mortality Files participants. 1986-2000年全国健康访谈调查相关死亡率档案参与者的死亡率经验。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2008-10-01

Deborah D Ingram, Kimberly A Lochner, Christine S Cox

{"title":"Mortality experience of the 1986-2000 National Health Interview Survey Linked Mortality Files participants.","authors":"Deborah D Ingram, Kimberly A Lochner, Christine S Cox","doi":"","DOIUrl":"","url":null,"abstract":"The National Center for Health Statistics (NCHS) has produced the 1986-2000 National Health Interview Survey (NHIS) Linked Mortality Files by linking eligible adults in the 1986-2000 NHIS cohorts through probabilistic record linkage to the National Death Index to obtain mortality follow-up through December 31, 2002. The resulting files contain more than 120,000 deaths and an average of 9 years of survival time. To assess how well mortality was ascertained in the linked mortality files, NCHS has conducted a comparison of the mortality experience of the 1986-2000 NHIS cohorts with that of the U.S. population. This report presents the results of this comparative mortality assessment. Methods The survival of each annual NHIS cohort was compared with that of the U.S. population during the same period. Cumulative survival probabilities for each annual NHIS cohort were derived using the Kaplan-Meier product limit method, and corresponding cumulative survival probabilities were computed for the U.S. population using information from annual U.S. life tables. The survival probabilities were calculated at various lengths of follow-up for each age-race-sex group of each NHIS cohort and for the U.S. population. Results As expected, mortality tended to be underestimated in the NHIS cohorts because the sample includes only civilian, noninstitutionalized persons, but this underestimation generally was not statistically significant. Statistically significant differences increased with length of follow-up, occurred more often for white females than for the other race-sex groups, and occurred more often in the oldest age groups. In general, the survival experience of the age-race-sex groups of each NHIS cohort corresponds quite closely to that of the U.S. population, providing support that the ascertainment of mortality through the probabilistic record linkage accurately reflects the mortality experience of the NHIS cohorts.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 147","pages":"1-37"},"PeriodicalIF":0.0,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27851264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0