This collection holds the research, scholarship, and creative works of Applied Statistics and Research Methods students. It includes content such as dissertations, theses, capstones, presentations, and more.
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Dissertations from 2023
An Adaptive Deep Learning for Causal Inference Based on Support Points With High-Dimensional Data, Lynda Aouar
A Bayesian Approach to Unit Lindley Mixed Model, Nirajan Bam
Multivariate Hierarchical Generalized Linear Model for Intensive Longitudinal Data With Incorporation of Outcome Variability As a Predictor, Maryam Skafyan
Dissertations from 2022
An Efficient Computational Method for Causal Inference in High-Dimensional Data: Neighborhood-Based Cross Fitting, Oluwagbenga David Agboola
An Ensemble Machine Learning Approach To Causal Inference in High-Dimensional Settings, Sami Saad Alanazi
Toeplitz Matrix-Based Goodness of Fit Test Statistics for Vector Autoregressive Moving Average Models, Hanadi Yahia Alomari
“I Just Want to Play”: Methodological Considerations For Including Older Adults in Co-creation of Research With A Focus on the Meaning of Activity for Residents of a 55+ Active Adult Master Planned Community, Becky Alice De Oliveira
The Impact of Rater Effects on Decision Consistency And Decision Accuracy Under the Many-Facet Rasch Measurement Framework, Haussohou Daniel Edi
Law Enforcement Efficacy in Domestic Violence Calls Based on the Responding Officer’s Experience, Training, and Scholarly Level, Idilio Moncivais Pinedo
Bayesian Joint Modeling for Longitudinal Outcomes of Exponential Families And Informative Time Points, Michael Safo Oduro
Developing and Assessing the Psychometric Properties Of a Multidimensional College Mental Health Assessment Inventory: A Mixed-Methods Study, John Sylvester
Dissertations from 2021
BAYESIAN APPROACH TO THE MIXTURE OF GAUSSIAN RANDOM FIELDS AND ITS APPLICATION TO AN FUNCTIONAL MAGNETIC RESONANCE IMAGING STUDY, Mozhdeh Forghaniarani
SMALL SAMPLE PERFORMANCE OF BAYESIAN CONFIRMATORY FACTOR ANALYSIS IN THE PRESENCE OF MISSING DATA, Kevin Benedict Gittner
Development of a New Foot and Ankle Activity Level Instrument Using The Rasch Model for Orthopaedic Clinical Application, Lauren M. Matheny
On the Development of the Self Starting Double Multivariate Exponentially Weighted Moving Average And Covariance Control Chart, Robert Eugene Resch
Applying Bayesian Growth Modeling In Machine Learning For Longitudinal Data, Alisa Udomvisawakul
Dissertations from 2020
Nonparametric Approach to Multivariate Analysis of Variance (Manova) Using Density-Based Kernel Methods, Hend Aljobaily
Time Series for the Boolean Random Sets, Kofi Kermah Wagya
Bayesian Approach of Joint Models of Longitudinal Outcomes and Informative Time, Adbullah Ahmed Zaagan
An Intensive Longitudinal Functional Lineary Model with Multiple Time Scales, Mostafa Zahed
Dissertations from 2019
A Cumulative Summation Nonparametric Multiple Stream Process Control Chart Based on the Extended Median Test, Austin R. Brown
Methodological Considerations for Researching Hidden-Populations With an Emphasis on Homeless Research Sampling Methods, Tyler William Kincaid
Model Selection for Longitudinal Data With Time-Dependent Covariates Using Generalized Method of Moments, Maryann Nishimura Shane
Dissertations from 2018
Robustness of Rasch Fit Statistics in Dichotomous and Rating Scale Data, Samantha Estrada Aguilera
On the Small Count Inflated Poisson Distribution, Michael Floren
A Methodological Review of the Cross-Cultural Ethical Dilemmas That Exist Within the Informed Consent Process: When Ethical Considerations in Human Research Differ, Suzanne Victoria Landram
Power Comparisons of the Rician and Gaussian Random Fields Tests for Detecting Signal from Functional Magnetic Resonance Images, Hasni Idayu Binti Saidi