Dissertations
2024 Dissertations
| Author | Title |
|---|---|
| Rachel Dillmann Gidaro | Forecasting Discrete Time Series |
| Ryan Hebdon | Bayesian Methods to Account for Observational Uncertainty |
| Rory Samuels | Inference Procedures for Multivariate and Functional Data: Applications to Pharmaceutical Statistics and Remote Sensing Data Analysis |
2023 Dissertations
| Author | Title |
|---|---|
| James Otto | Computational Tools for Data Visualization, Bayesian Deming Regression, and Software Documentation |
| Xie Chang | Bayesian Dynamic Borrowing Strategies with Power Priors and Quantifying Prior Information for Circular Priors |
2022 Dissertations
| Author | Title |
|---|---|
| Yuhan Ma | Statistical Methods for Outcome Misclassification Adjustment in Causal Inference and Spatial Classification |
| Jason Maddox | Bayesian Method of Predicting In-Game Win Probability Across Sports |
| Will Best | Comparing Predictive Accuracy of Multiple Forecasts |
| Luke Durell | Applications of Functional Data Analysis to Environmental Problems |
| Robert Hernandez | A Beta Regression Approach to Nonparametric Longitudinal Data Classification in Clinical Trials |
| Xing Meng | Covariate-Adjusted ROC Regressions and the Extensions in Trend Tests |
| Evan Miyakawa | Contributions to the practical application of Bayesian methods to survival analysis in clinical trials |
2021 Dissertations
| Author | Title |
|---|---|
| Jinjie Chen | Bayesian Spatial Misclassification Model for Areal Count Data With Applications to COVID-19 |
| Minho Kim | Statistical Methods for Complex Spatial Data |
| 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 autocorrelated 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 |