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A Bayesian Joint Model Framework for Repeated Matrix-Variate Regression with Measurement Error Correction
DownloadSpring 2021
In this thesis, with the purpose of correcting for potential measurement errors in repeatedly-observed matrix-valued surrogates, and examining the underlying association between latent matrix covariates and a binary response, we propose a Bayesian joint model framework. This joint model method...
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Fall 2011
This study explored the implicit messages in narrative fiction relating to the construction of female beauty ideas and ideals. Conversations with three young adult female participants focused on how our media-saturated culture perpetuates beauty myths specifically within fictional narratives and...
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Spring 2022
The research in this dissertation draws on theories from psychology to address the issue of obedience as it relates to medical error and patient harm in healthcare settings by developing a model of obedience, analyzing the environment of application through survey research, and testing obedience...