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Author ORCID Identifier

https://orcid.org/0000-0003-4638-7514

AccessType

Campus-Only Access for One (1) Year

Document Type

dissertation

Degree Name

Doctor of Philosophy (PhD)

Degree Program

Mathematics

Year Degree Awarded

2022

Month Degree Awarded

February

First Advisor

Krista J. Gile

Subject Categories

Statistical Methodology | Statistical Models

Abstract

Over the past decade, network research has increased dramatically. Network data are used in many fields because they contain not only covariates of each observation, but also `relationships' between observations. Therefore, statistical analysis of network data has been rapidly developed. However, network data presents many challenges, such as collecting network data, inferring the prevalence of an outcome of interest, and valid statistical testing typically with highly dependent data. The methods discussed in this thesis are developed to improve statistical inference from dependent network data.

DOI

https://doi.org/10.7275/27174816

Available for download on Wednesday, February 01, 2023

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