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Found 33 dataset(s) matching "nhanes".
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This is STATA software code for analysis on publicly available NHANES data
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Population-based county-level estimates for diagnosed (DDP), undiagnosed (UDP), and total diabetes prevalence (TDP) were acquired from the Institute for Health Metrics and Evaluation (IHME) for...
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NHANES data from the 2003-2014 survey years. Specific to adolescents. Ancillary data related to metabolic syndrome and other covariates. This dataset is associated with the following...
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data is from NHANES study and EPA fish intake and HG concentration in fish tissue. This dataset is associated with the following publication: Xue , J., V. Zartarian , B. Mintz , M. Weber , K....
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Population-based county-level estimates for prevalence of DC were obtained from the Institute for Health Metrics and Evaluation (IHME) for the years 2004-2012 (16). DC prevalence rate was defined...
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The dataset that was evaluated in this approach was taken from Wambaugh et al [29] who filtered the Tox21 library to reflect substances with similar uses to those in NHANES. The zip file contains...
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This report compares specific health conditions, overall health, and health care utilization prevalence estimates from the 2006 National Survey on Drug Use and Health (NSDUH) and other national...
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These data are an indicator of children younger that 6 years of age tested in NYC in a given year with blood lead levels of 5 mcg/dL or greater. About the Data All NYC children are required...
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General aggregate PFOS and PFOA exposure estimates are based on reported summary statistics from concentration studies by media, i.e. into indoor air, outdoor air, food, water, dust and soil, and...
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<p>This database was developed with support from the Office of Dietary Supplements, National Institutes of Health for flavonoid intake studies. The database is a useful tool for flavonoid intake...
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Background Investigating the validity of the self-reported values of weight allows for the proper assessment of studies using questionnaire-derived data. The study examined the accuracy...
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Frequent itemset mining (FIM), a technique used for finding patterns in consumer purchasing behavior, can be applied to data from large-scale biomonitoring studies to identify combinations of...
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We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive...
