Browsing by Author "Carroll, Raymond J"
Now showing items 1-15 of 15
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Adaptive Basis Sampling for Smoothing Splines
Zhang, Nan (2015-08-03)Smoothing splines provide flexible nonparametric regression estimators. Penalized likelihood method is adopted when responses are from exponential families and multivariate models are constructed with certain analysis of ... -
Application of Bayesian Hierarchical Models in Genetic Data Analysis
Zhang, Lin (2012-08-15)Genetic data analysis has been capturing a lot of attentions for understanding the mechanism of the development and progressing of diseases like cancers, and is crucial in discovering genetic markers and treatment targets ... -
Epidemiology of Bacterial Food-borne Pathogens: Linking Intermittent Pathogen Shedding and Transmission in Their Animal Hosts
Gautam, Raju (2013-04-30)Most bacterial foodborne pathogens are shed intermittently from their animal hosts and are able to grow and persist in the environment. Cattle and pigs constitute the major animal reservoirs for these pathogens. The overall ... -
New Approaches in Testing Common Assumptions for Regressions with Missing Data
Chown, Justin Andrew (2014-07-30)We consider both nonparametric regression and heteroskedastic nonparametric regression models with multivariate covariates and with responses missing at random. The regression function is estimated using a local polynomial ... -
Novel Methods for Addressing Bias from Misclassified Exposure Variables
Manuel, Christopher Matthew (2020-07-30)Exposure variables are often misclassified in observational studies. Any analysis that does not make proper adjustments for misclassification may result in biased estimates of model parameters and that may lead to distorted ... -
Rapid publication-ready MS-Word tables for one-way ANOVA
Assaad, Houssein I; Zhou, Lan; Carroll, Raymond J; Wu, Guoyao (SpringerPlus, 2014) -
Rapid publication-ready MS-Word tables for two-way ANOVA
Assaad, Houssein I; Hou, Yongqing; Zhou, Lan; Carroll, Raymond J; Wu, Guoyao (SpringerPlus, 2015) -
Restricted Most Powerful Bayesian Tests
Goddard, Scott D (2015-04-24)Uniformly most powerful Bayesian tests (UMPBTs) are defined to be Bayesian tests that maximize the probability that the Bayes factor against a fixed null hypothesis exceeds a specified evidence threshold. Unfortunately, ... -
Scoring and Relative Risk Analysis in Nutrition and Physical Activity
Kravitz, Eli Samuel (2019-05-29)This work presents three analyses of the NIH-AARP Study of Diet and Health. Each analysis develops recommendations for nutritional intake or physical behaviors, or alters existing recommendations. New statistical methodology ... -
Semiparametric Analysis of Complex Polygenic Gene-Environment Interactions in Case-Control Studies
Asher, Alexander Allen (2018-08-07)Gene-environment interactions can be efficiently estimated in case-control data by existing retrospective methods that assume gene-environment independence in the source population, but such techniques require parametric ... -
Semiparametric Efficient Estimators in Primary and Secondary Analysis of Case-Control Studies
Liang, Liang (2017-05-01)As a cost-efficient alternative to cohort design, case-control design is widely used in epidemiological studies. The primary analysis of the case-control studies focuses on the relationship between disease status and the ... -
Statistical Methods for High Dimensional Biomedical Data
Ball, Robyn Lynn (2013-03-27)This dissertation consists of four different topics in the areas of proteomics, genomics, and cardiology. First, a data-based method was developed to assign the subcellular localization of proteins. We applied the method ... -
Statistical Methods for Integrating Genomics Data
McGuffey, Elizabeth Jennings (2015-04-16)This dissertation focuses on methodology to integrate multiplatform genomic data with cancer applications. Such integration facilitates the discovery of biological information crucial to the development of targeted treatments. ... -
Thresholding Multivariate Regression and Generalized Principal Components
Sun, Ranye (2014-03-17)As high-dimensional data arises from various fields in science and technology, traditional multivariate methods need to be updated. Principal component analysis and reduced rank regression are two of the most important ... -
Topics in Measurement Error Analysis and High-Dimensional Binary Classification
Wang, Tianying (2018-07-18)We propose novel methods to tackle two problems: the misspecified model with measurement error and high-dimensional binary classification, both have a crucial impact on applications in public health. The first problem ...