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Unmeasured confounding
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Potential overestimation of the influence of unmeasured confounding in non-randomized studies: a comparison of bias-analysis methods
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Year
Spring 2020
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School
Rollins School of Public Health
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Department / Specialty
Epidemiology
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Degree
M.P.H.
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Submission Type
Master's Thesis
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Research Field
Health Sciences, Epidemiology
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Committee
Lash, Timothy L., Emory University
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Keyword
Bias
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Bias analysis
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Unmeasured confounding
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