|Statistical Methods for Outcome Misclassification Adjustment in Causal Inference and Spatial Classification
|Bayesian Method of Predicting In-Game Win Probability Across Sports
|Comparing Predictive Accuracy of Multiple Forecasts
|Applications of Functional Data Analysis to Environmental Problems
|A Beta Regression Approach to Nonparametric Longitudinal Data Classification in Clinical Trials
|Covariate-Adjusted ROC Regressions and the Extensions in Trend Tests
|Contributions to the practical application of Bayesian methods to survival analysis in clinical trials
|Bayesian Spatial Misclassification Model for Areal Count Data With Applications to COVID-19
|Statistical Methods for Complex Spatial Data
|Contributions to algebraic pattern recognition and integrated likelihood ratio confidence intervals
|Bayesian Approaches for Survival Data in Pharmaceutical Research
|Integrated-Likelihood-Ratio Confidence Interval Methods for Data Subject to Double-Sampling
|Multivariate Fault Detection and Isolation
|Lehmann ROC Regression and Spatial Classification
|Topics on the Statistical Analysis of High-Dimensional Genomic Data.
|Contributions to Computational Algebraic Statistics
|On Testing for Equality of Two Population High-Dimensional Mean Vectors
|Detecting episodes of star formation using Bayesian model selection
|Bayesian adjustment for misclassification bias and prior elicitation for dependent parameters
|Bayesian inference for vaccine efficacy and prediction of survival probability in prime-boost vaccination regimes
|Computational Bayesian methods applied to complex problems in bio and astro statistics
|Bayesian Approach to Partially Validated Binary Regression with Response and Exposure Misclassification.
|A Power Contrast of Tests for Homogeneity of Covariance Matrices in a High-Dimensional Setting.
|Applications of Bayesian quantile regression and sample size determination.
|On Inferring Cognitive Impairment from a Battery of Cognitive Tests and Predicting an Event-of-Interest from Longitudinal and Time-to-Event Data.
|Beta regression for modeling a covariate-adjusted ROC.
|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.
|Contributions to the theory and practice of prior elicitation in biopharmaceutical research.
|Graphical methods in prior elicitation.
|Bayesian inference for bivariate Poisson data with zero-inflation.
|Bayesian methods in non-clinical pharmaceutical statistics.
|Multilevel binomial and Poisson regression with misclassified outcomes and binary covariates: a Bayesian approach.
|Three applications of linear dimension reduction.
|Modeling nonlinear, nonstationary, vector time series: methods and applications.
|Johanie Van Zyl
|Evaluating treatment efficacy using AUC modeling.
|Bayesian models for unmeasured confounder in the analysis of time-to-event data.
|Bayesian methods to estimate the accuracy of a binary measurement system.
|Some new applications of Bayesian longitudinal models.
|R. J. Waken
|Flexible spatial interpolation and uncertainty quantification : with applications in radar rainfall estimation.
|Network meta-analysis with rare events and misclassified response.
|Bayesian methods for hurdle models.
|Logistic regression models for short sequences of correlated binary variables possessing first-order Markov dependence.
|Topics in Bayesian models with ordered parameters : response misclassification, covariate misclassification, and sample size determination.
|Semiparametric AUC regression for ordered treatment effects.
|Adaptive Designs for Phase II Clinical Trials with Binary Endpoints.
|Bayesian methods to estimate the accuracy of diagnostic tests in meta-analysis models.
|On the measurement of blinding in randomized, controlled trials.
|Topics in multivariate covariance estimation and time series analysis.
|A bivariate regression model with correlated mixed responses.
|Semiparametric estimation and forecasting for functional-coefficient autoregressive models.
|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.
|Normal approximation for Bayesian models with non-sampling bias.
|Stephanie (Simon) Doherty
|Interval-censored negative binomial models : a Bayesian approach.
|Bayesian approaches for design of psychometric studies with underreporting and misclassification.
|Selected topics in high-dimensional statistical learning.
|Bayesian modelling of mixed outcome types using random effect.
|Bayesian approaches to correcting bias in epidemiological data.
|Bayesian topics in biostatistics : treatment selection, sample size, power, and misclassification.
|Bayesian sample-size determination and adaptive design for clinical trials with Poisson outcomes.
|Topics in odds ratio estimation in the case-control studies and the bioequivalence testing in the crossover studies.
|Bayesian evaluation and adaptive trial design for surrogate time-to-event endpoints in clinical trials.
|Interval estimation for TPRs and FPRs of two diagnostic tests with unverified negatives.
|Poisson regression models for interval censored count data.
|Spatial Poisson regression : Bayesian approach correcting for measurement error with applications.
|Count regression models with a misclassified binary covariate : a Bayesian approach.
|Bayesian models for discrete censored sampling and dose finding.
|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.
|Bayesian approaches to parameter estimation and variable selection for misclassified binary data.
|Bayesian approach to inference and variable selection for misclassified and under-reported response models.
|Topics in dimension reduction and missing data in statistical discrimination.
|Logistic regression with covariate measurement error in an adaptive design : a Bayesian approach.
|Statistical monitoring of a process with autocorrelated output and observable autocorrelated measurement error.
|Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data.
|Statistical considerations in the analysis of multivariate Phase II testing.
|Bayesian approaches to problems in drug safety and adaptive clinical trial designs.
|Bayesian and maximum likelihood methods for some two-segment generalized linear models.
|Sample size determination for Emax model, equivalence / non-inferiority test and drug combination in fixed dose trials.
|Semiparametric AUC regression for testing treatment effect in clinical trial.
|Dunlei (Chris) Cheng
|Topics in Bayesian sample size determination and Bayesian model selection.
|Logistic regression with misclassified response and covariate measurement error: a Bayesian approach.
|Bayesian inference for correlated binary data with an application to diabetes complication progression.
|Bayesian evaluation of surrogate endpoints.
|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.
|Selected topics in statistical discriminant analysis.
|Maximum-likelihood-based confidence regions and hypothesis tests for selected statistical models.
|Bayesian adaptive designs for non-inferiority and dose selection trials.
|Statistical issues concerning modeling and evaluating student achievement and school accountability.
|The semicircular normal distribution.
|The epsilon-skew-exponential power distribution.
|Missing data in clinical trials.
|Likelihood-based confidence intervals for proportion parameters with binary data subject to misclassification.
|Bayesian procedures for ranking normal means.
|Regression effect models.
|Bayesian models for circular data.
|Contributions to the theory of quadratic forms and generalized quadratic forms in normal random matrices.
|Systematic bi-strata cluster sampling applied to preventive health care utilization rates.
|Bayesian analysis of time-to-pregnancy data.
|Error rate approximation and estimation for the linear discriminant function for the small training-sample-size case.
|Bayesian methods for bioequivalence studies.
|Bayesian methods for linear calibration.
|Mathematical modeling in public education.
|Bayesian point estimates in finite population sampling.
|Statistical signal processing algorithms.
|A Bayesian analysis of Poisson data with misclassification.
|1999 - A Bayesian analysis for dose proportionality.
|1999 - A Bayesian analysis of mislabeling of training observations in linear discriminant analysis.
|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.
|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.
|1997 - Bayesian inference using surrogate variables.
|1996 - A Bayesian analysis of crossover designs and carryover effects.
|1996 - Determining the joint probability of failure of materials subject to multiple stress loads : a Bayesian approach.
|1995 - Selection of beta distributions for the representation of uncertainty.
|1995 - Analysis of quantal responses in the joint action of two agents : Bayesian and distribution-free methods
|1995 - Representations of common solutions to certain systems of matrix equations
|1993 - nMatrix equation solutions and distribution theory of quadratic forms