Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"exposure misclassification"”.
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Examining the Relationship Between Safe Drinking Water Violations and Adverse Birth Outcomes in Virginia
… established to protect consumers from potential exposure to over 90 water contaminants. Each contaminant is assigned a health-based standard meant to reflect the maximum level at which an adverse human health outcome is unlikely; measurements beyond that level have greater potential to result in …
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A PARTICIPATORY APPROACH TO ASSESS CHILDREN PERSONAL EXPOSURE TO BLACK CARBON IN AN URBAN ENVIRONMENT: SPATIAL ANALYSIS, PERSONAL MEASUREMENTS, AND POSSIBLE MITIGATION ACTIONS.
… air pollution and health outcomes, reducing exposure misclassification in epidemiological studies remains an important challenge in the framework of exposure science. The aim of this dissertation is to present a novel participatory approach to assess schoolchildren exposure to air pollution …
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Relationship between Industry and Occupation with Cancer Using the Illinois BRFSS Survey (2018 to 2022)
… on Cancer (IARC) classifications to identify exposure to known (Group 1), probable (Group 2A), or possible (Group 2B) carcinogens. Multiple logistic regression models were conducted, considering complex survey design and adjusting for demographic, socioeconomic, and lifestyle factors. A …
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Intraurban Variability of Ambient Particulate Matter
… quality management and for assessing potential exposure misclassification in epidemiological and exposure studies used to support health-based standards. Spatiotemporal variability of PM in urban areas can be influenced by many factors, such as local sources of primary PM; source locations and …
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Adjusting retrospective noise exposure assessment for use of hearing protection devices
Earlier retrospective noise exposure assessments for use in epidemiological research were not adequately characterized because they did not properly account for use of hearing protection devices (HPD) which would result in potential misclassification. Exposure misclassification has been shown to …
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Examining the scope of homicide-suicide perpetrated by law enforcement: A population-based retrospective study using multiple frames, 2003 - 2017
… the joined data as a multiple-frame sample. Our exposure of interest was occupation type, classified as employment in (a) law enforcement, (b) military occupations, (c) other life-threateningly dangerous or traumatic occupations. Our unexposed reference group was persons in all other general …
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Using novel portable air quality monitors to improve personal exposure and dose estimations for health studies
… of the causal links between air pollution exposure and human health is needed. However, conventional health studies are restricted by methodological limitations such as miss-estimations of personal exposure and the interdependence between different pollutant species when using traditional …
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Statistical methods for multivariate meta-analysis
… of observational studies accounting for exposure misclassification, and meta-regression methods adjusting for post-randomization variables. In studies evaluating the accuracy of diagnostic tests, three designs are commonly used, crossover, randomized, and non-comparative. Existing methods …
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Count regression models with a misclassified binary covariate : a Bayesian approach.
Mismeasurment, and specifically misclassification, are inevitable in a variety of regression applications. Fallible measurement methods are often used when infallible methods are either expensive or not available. Ignoring mismeasurement will result in biased estimates for the associated regression …
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Disinfection by-products and prenatal development
… This may be due, in part, to biases inherent to exposure assessment or analytical methodologies used in past studies. This dissertation presents three approaches designed to develop and evaluate new methods of minimizing exposure misclassification and improving risk estimation for studies of DBPs …