This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results
Filter
Author / Creator / Contributor
Item type
Subject / Keyword
- 1Electroencephalography
- 1antidepressant treatment outcome
- 1bayesian joint model
- 1eyes-closed EEG
- 1eyes-open EEG
- 1matrix-valued covariates
Year
Collections
Languages
-
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...
1 - 1 of 1