Dissertations

2021 Dissertations

Author	Title
Jinjie Chen	Bayesian Spatial Misclassification Model for Areal Count Data With Applications to COVID-19
Qida Ma	Contributions to algebraic pattern recognition and integrated likelihood ratio confidence intervals

2020 Dissertations

Author	Title
Purvi Prajapati	Bayesian Approaches for Survival Data in Pharmaceutical Research
Briceon Wiley	Integrated-Likelihood-Ratio Confidence Interval Methods for Data Subject to Double-Sampling
Molly Klanderman	Multivariate Fault Detection and Isolation
Melissa Innerst	Lehmann ROC Regression and Spatial Classification

2019 Dissertations

Author	Title
Caleb Stein	Topics on the Statistical Analysis of High-Dimensional Genomic Data.
Grant Innerst	Contributions to Computational Algebraic Statistics
Whitney Worley	On Testing for Equality of Two Population High-Dimensional Mean Vectors
Andrew Lawler	Detecting episodes of star formation using Bayesian model selection
Divya Lakshminarayanan	Bayesian adjustment for misclassification bias and prior elicitation for dependent parameters
Yuelin Lu	Bayesian inference for vaccine efficacy and prediction of survival probability in prime-boost vaccination regimes
Chris Elrod	Computational Bayesian methods applied to complex problems in bio and astro statistics

2018 Dissertations

Author	Title
Katrina Anderson	Bayesian Approach to Partially Validated Binary Regression with Response and Exposure Misclassification.
Ben Barnard	A Power Contrast of Tests for Homogeneity of Covariance Matrices in a High-Dimensional Setting.
Clay King	Applications of Bayesian quantile regression and sample size determination.
Morgan McCreary	On Inferring Cognitive Impairment from a Battery of Cognitive Tests and Predicting an Event-of-Interest from Longitudinal and Time-to-Event Data.
Sarah Stanley	Beta regression for modeling a covariate-adjusted ROC.
Youjiao Yu	Weibull Mixture Model for Grouped Data and Pattern Identification in Spatial and Spatial-Temporal Data.
Kate (Qi) Zhou	Bayesian propensity score analysis for clustered data with misclassified response and its sensitivity to unmeasured confounding.

 

2017 Dissertations

Author	Title
Somer Blair	Contributions to the theory and practice of prior elicitation in biopharmaceutical research.
Chris Casement	Graphical methods in prior elicitation.
Madeline Drevets	Bayesian inference for bivariate Poisson data with zero-inflation.
Paul Faya	Bayesian methods in non-clinical pharmaceutical statistics.
Tyler Nelson	Multilevel binomial and Poisson regression with misclassified outcomes and binary covariates: a Bayesian approach.
Gabriel Odom	Three applications of linear dimension reduction.
Justin Sims	Modeling nonlinear, nonstationary, vector time series: methods and applications.
Johanie Van Zyl	Evaluating treatment efficacy using AUC modeling.

 

2016 Dissertations

Author	Title
Wencong Chen	Bayesian models for unmeasured confounder in the analysis of time-to-event data.
Mark Eschmann	Bayesian methods to estimate the accuracy of a binary measurement system.
Jonathon Vallejo	Some new applications of Bayesian longitudinal models.
R. J. Waken	Flexible spatial interpolation and uncertainty quantification : with applications in radar rainfall estimation.
Wenqi Wu	Network meta-analysis with rare events and misclassified response.

 

2015 Dissertations

Author	Title
Joyce Cheng	Bayesian methods for hurdle models.
Michelle Marcovitz	Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence.
Kristen Tecson	Topics in Bayesian models with ordered parameters : response misclassification, covariate misclassification, and sample size determination.

 

2014 Dissertations

Author	Title
Amy Buros	Semiparametric AUC regression for ordered treatment effects.
Tom Carlile	Adaptive Designs for Phase II Clinical Trials with Binary Endpoints.
Jack Knorr	Bayesian methods to estimate the accuracy of diagnostic tests in meta-analysis models.
Forrest Williamson	On the measurement of blinding in randomized, controlled trials.

 

2013 Dissertations

Author	Title
John Beeson	Topics in multivariate covariance estimation and time series analysis.
Ross Bray	A bivariate regression model with correlated mixed responses.
Joshua Patrick	Semiparametric estimation and forecasting for functional-coefficient autoregressive models.
Ryan Sides	Sample size determination for two sample binomial and Poisson data models based on Bayesian decision theory.
Linda (Njoh) Simo	Topics in interval estimation for two problems using double sampling.
Daisy (Jiang)Yuan	Normal approximation for Bayesian models with non-sampling bias.

 

2012 Dissertations

Author	Title
Stephanie (Simon) Doherty	Interval-censored negative binomial models : a Bayesian approach.
Brandi Falley	Bayesian approaches for design of psychometric studies with underreporting and misclassification.
John Ramey	Selected topics in high-dimensional statistical learning.
Hua Wei	Bayesian modelling of mixed outcome types using random effect.

 

2011 Dissertations

Author	Title
Monica Bennett	Bayesian approaches to correcting bias in epidemiological data.
Tave Doty	Bayesian topics in biostatistics : treatment selection, sample size, power, and misclassification.
Austin Hand	Bayesian sample-size determination and adaptive design for clinical trials with Poisson outcomes.
Denka Markova	Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies.
Lindsay Renfro	Bayesian evaluation and adaptive trial design for surrogate time-to-event endpoints in clinical trials.
Eileen Stock	Interval estimation for TPRs and FPRs of two diagnostic tests with unverified negatives.
Sydeaka Watson	Poisson regression models for interval censored count data.

 

2010 Dissertations

Author	Title
William Atkinson	Spatial Poisson regression : Bayesian approach correcting for measurement error with applications.
MaryAnn Morgan-Cox	Count regression models with a misclassified binary covariate : a Bayesian approach.
Jessica Pruszynski	Bayesian models for discrete censored sampling and dose finding.
Gaby Rahardja	Bayesian and likelihood-based interval estimation for the risk ratio using double sampling with misclassified binomial data.
John W. Seaman III	Topics in Bayesian inference : induced priors, proof loading for combination drugs, and distribution of archaeological skeletal assemblages.

 

2009 Dissertations

Author	Title
Daniel Beavers	Bayesian approaches to parameter estimation and variable selection for misclassified binary data.
Stephanie Powers	Bayesian approach to inference and variable selection for misclassified and under-reported response models.
Philip Young	Topics in dimension reduction and missing data in statistical discrimination.

 

2008 Dissertations

Author	Title
Joanna Crixel	Logistic regression with covariate measurement error in an adaptive design : a Bayesian approach.
Jesus Cuellar-Fuentes	Statistical monitoring of a process with autocorrlated output and observable autocorrelated measurement error.
Brandi Greer	Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data.
Joel Hetzer	Statistical considerations in the analysis of multivariate Phase II testing.
Jo Mauldin	Bayesian approaches to problems in drug safety and adaptive clinical trial designs.
Kazutoshi Miyamoto	Bayesian and maximum likelihood methods for some two-segment generalized linear models.
Jie Wang	Sample size determination for Emax model, equivalence / non-inferiority test and drug combination in fixed dose trials.
Lin Zhang	Semiparametric AUC regression for testing treatment effect in clinical trial.

 

2007 Dissertations

Author	Title
Dunlei (Chris) Cheng	Topics in Bayesian sample size determination and Bayesian model selection.
Anna McGlothlin	Logistic regression with misclassified response and covariate measurement error: a Bayesian approach.

 

2006 Dissertations

Author	Title
Patricia Carlin	Bayesian inference for correlated binary data with an application to diabetes complication progression.
Amy Feng	Bayesian evaluation of surrogate endpoints.
John McBride	Conjugate hierarchical models for spatial data: an application on an optimal selection procedure.
Page Casey Moore	A restriction method for the analysis of discrete longitudinal missing data.
Songthip Ounpraseuth	Selected topics in statistical discriminant analysis.
Kent Riggs	Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models.
Melissa Spann	Bayesian adaptive designs for non-inferiority and dose selection trials.

 

2005 Dissertations

Author	Title
Deeanna Antosh	Statistical issues concerning modeling and evaluating student achievement and school accountability.
Jose Guardiola	The semicircular normal distribution.

 

2004 Dissertations

Author	Title
Hassan Elsalloukh	The epsilon-skew-exponential power distribution.

 

2003 Dissertations

Author	Title
Sunni Barnes	Missing data in clinical trials.
Doyle Boese	Likelihood-based confidence intervals for proportion parameters with binary data subject to misclassification.
Cody Hamilton	Bayesian procedures for ranking normal means.
Amy Maddox	Regression effect models.
Fanni Natanegara	Bayesian models for circular data.
Marsha Young	Contributions to the theory of quadratic forms and generalized quadratic forms in normal random matrices.

 

2002 Dissertations

Author	Title
Dwight Stephens	Systematic bi-strata cluster sampling applied to preventive health care utilization rates.

 

2001 Dissertations

Author	Title
Karen Andrews	Bayesian analysis of time-to-pregnancy data.
Peter Chen	Error rate approximation and estimation for the linear discriminant function for the small training-sample-size case.
Janelle Erikson	Bayesian methods for bioequivalence studies.
Kathleen Morley	Bayesian methods for linear calibration.
David Paul	Mathematical modeling in public education.

 

2000 Dissertations

Author	Title
Mark Hammer	Bayesian point estimates in finite population sampling.
Phil Rhodes	Statistical signal processing algorithms.
James Stamey	A Bayesian analysis of Poisson data with misclassification.

 

1993-1999 Dissertations

Author	Title
Marty Smith	1999 - A Bayesian analysis for dose proportionality.
Laura Thompson	1999 - A Bayesian analysis of mislabeling of training observations in linear discriminant analysis.
Benjamin Bekele	1998 - Binomial data with misclassification : a Bayesian approach.
Virginia Sutton Kay	1998 - Statistical evaluation of a project to estimate fish trajectories through the intakes of Kaplan hydropower turbines.
Thomas Parks	1998 - Antagonism and synergism detection in multidimensional quantal response surfaces.
Julia Etta Thomas	1998 - Properties of the ANOVA F test as applied to ordered categorical data : a simulation-based study.
Kent S. Borowick	1997 - Analysis of low probability count data with applications in crime analysis.
David Manner	1997 - Bayesian inference using surrogate variables.
Stacey David	1996 - A Bayesian analysis of crossover designs and carryover effects.
Elisabeth Umble	1996 - Determining the joint probability of failure of materials subject to multiple stress loads : a Bayesian approach.
Scott Burk	1995 - Selection of beta distributions for the representation of uncertainty.
Melinda Miller	1995 - Analysis of quantal responses in the joint action of two agents : Bayesian and distribution-free methods
Agustin Navarra	1995 - Representations of common solutions to certain systems of matrix equations
Leah Lehman	1993 - nMatrix equation solutions and distribution theory of quadratic forms