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

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