Bayesian Methods for Analyzing ADNI Longitudinal Biomarkers and Time-to-Event Data -- embargoed --2028-08

Digital Document
Metadata
Persons
Persons
Creator (cre): Chang, Xiaolin
Major Advisor (mja): Chen, Ming-Hui
Associate Advisor (asa): Lachos Davila, Victor Hugo
Associate Advisor (asa): Wang, Xiaojing
Title
Title
Title
Bayesian Methods for Analyzing ADNI Longitudinal Biomarkers and Time-to-Event Data -- embargoed --2028-08
Supplied
yes
Origin Information
Origin Information
Event Place
Storrs, CT
Date Created
2023
Publisher
University of Connecticut (783)
Issuance
monographic
Parent Item
Parent Item
Dissertations
Resource Type
Resource Type
Text
Description
Description
This dissertation is embargoed through August 2028.
Language
Language
English
Genre
Genre
doctoral dissertations
Organizations
Organizations
Degree granting institution (dgg): University of Connecticut
Held By
Held By
Archives & Special Collections, University of Connecticut Library
Rights Statement
Rights Statement
IN COPYRIGHT
Use and Reproduction
Use and Reproduction
These Materials are provided for educational and research purposes only.
Note
Note
Note Type
local
Note
Joint models, Bayesian methods, state-specific trajectory, longitudinal data, time-to-event data, ordinal data, Alzheimer's disease, ADNI, disease progression
Degree Name
Degree Name
Doctor of Philosophy
Degree Level
Degree Level
Ph.D.
Degree Discipline
Degree Discipline
Statistics
Local Identifier
Local Identifier
S_41864249

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