DOI
https://doi.org/10.25772/5NY2-ED51
Author ORCID Identifier
https://orcid.org/0000-0003-0803-9826
Defense Date
2020
Document Type
Dissertation
Degree Name
Doctor of Philosophy
Department
Clinical and Translational Sciences
First Advisor
Michael Neale
Second Advisor
Hermine Maes
Third Advisor
Silviu Bacanu
Fourth Advisor
Steven Boker
Fifth Advisor
Michael Hunter
Sixth Advisor
Todd Webb
Abstract
Within-person data can exhibit a virtually limitless variety of statistical patterns, but it can be difficult to distinguish meaningful features from statistical artifacts. Studies of complex traits have previously used genetic signals like twin-based heritability to distinguish between the two. This dissertation is a collection of studies applying state-space modeling to conceptualize and estimate novel phenotypic constructs for use in psychiatric research and further biometrical genetic analysis. The aims are to: (1) relate control theoretic concepts to health-related phenotypes; (2) design statistical models that formally define those phenotypes; (3) estimate individual phenotypic values from time series data; (4) consider hierarchical methods for biometrical genetic analysis of individual phenotypic variation.
Rights
© Kevin L. McKee, February 2020
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
4-10-2020
Included in
Applied Statistics Commons, Longitudinal Data Analysis and Time Series Commons, Quantitative Psychology Commons, Statistical Models Commons