Application of Probabilistic Bias-Analysis Methods to Historical Cohort Mortality Studies
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Authors
Published Date
Publisher
Abstract
The purpose of this research was to describe the development and application of probabilistic bias-analysis methods to adjust results from historical cohort mortality studies with multi-level exposure variables. The bias-analysis models illustrated within this dissertation focus on three key sources of systematic study error: 1) disease misclassification due to loss to follow-up, 2) disease misclassification due to incorrect death data, and 3) exposure misclassification.
Keywords
Description
University of Minnesota Ph.D. dissertation. December 2018. Major: Environmental Health. Advisor: George Maldonado. 1 computer file (PDF); vii, 96 pages.
Related to
Replaces
License
Collections
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Scott, Laura. (2018). Application of Probabilistic Bias-Analysis Methods to Historical Cohort Mortality Studies. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/211795.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.