Advances in Causal Inference to Support Vaccine Development and Evaluation

Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status

Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems

Probabilistic clustering of complex biomarker data for Alzheimer’s Disease

Statistical Methods for Analyzing Compositional Human Microbiome Data

Statistical Methods for Mediation Analysis of Omics Data

Statistical approaches to understanding between and within host dynamics of infectious disease agent replication

Prediction Approaches for High-dimensional and Complex Neuroimaging Data

Improvements in statistical machine learning for current problems in public health

Relaxed Conditional Bootstrap Inference for Sparse Data Under a Rectangular Array Embedding

COVID-19 Mitigation Strategies: Implications for Pandemic Control and the Incidence of Drug-Resistant Tuberculosis

Causal Inference in Multilayered Networks

Ambient Air Pollution Estimation Using Bayesian Hierarchical Models

Topics in Data Integration Methods for Neuroimaging and Generalized Additive Mixed Models for Ambulatory Blood Pressure Curves and Psychosocial Stressors

Flexible Methods to Incorporate Covariates in Latent Class Analysis

New Statistical Methods for Complex Survival Analysis Problems

Latent Class Methods for Complex Chronic Disease Data

Statistical Methods for Brain Network Estimation

Statistical Modeling and Learning in Single Cell RNA Sequencing Data

Statistical Methods for Spatial Data in Public Health

Estimates of Influenza Vaccine Effectiveness from Observational Studies

Dietary Incorporation: Health Implications of Migration to the United States

Novel Statistical and Machine Learning Methods with Application to Brain Imaging Data

Network-Based Machine Learning Methods for Omics Data

Spatial Latent Process Models to Overcome Preferential Sampling in Disease Surveillance Systems

Development of Statistical Methods for Multiple-Hypotheses Testing

Local and Genome-wide Gene Conversion contributes to secondary somatic diversification of antibody repertoires in Humans and Mice

Nonparametric Regression for Assessing Time-Varying Effects in Survival Analysis

Statistical Methods for High-throughput Epigenomics Data

Statistical Methods for Estimating and Analyzing Brain Functional Connectivity

Model-Based Statistical Methods for Public Health Surveillance Subject to Imperfect Observations

High-dimensional Universal Dependence Discovery

Likelihood Methods for Logistic Regression with Missing Data

Survival Analysis with Covariate Measurement Error

Estimation of Potential Outcomes when Treatment Assignment and Discontinuation Compete in Observational Data

Novel Statistical Methods for Analyzing Next Generation Sequencing Data

Statistical Methods for Robust Estimation of Differential Protein Expression

Statistical Methods for Rare-Variant Sequencing Studies in Pedigrees

Determining Greek Architectural Design Units in the Sanctuary ofthe Great Gods, Samothrace: Application of and Extensions to theCosine Quantogram Method

Statistical Methods for Multi-modal Neuroimaging Data: Techniques for the Combined Analysis of Brain Function and Structure

Analysis of Data with Complex Misclassification in Response or Predictor Variables by Incorporating Validation Subsampling

Statistical Methods for Causal Inference in Observational Studies

Development of Novel Analytic Methods for Improved Gene Mapping of Complex Human Traits

Comparison of Warfarin and Aspirin in Preventing Symptoms Causedby Atherosclerotic Intracranial Arterial Stenosis by UsingPrincipal Stratification

Some Novel Statistical Methods for Neuroimaging Data Analysis

Statistical Methods to Adjust for Misclassified Repeated Exposures in Modeling Disease-Exposure Associations

Spatial and spatial-temporal point process analysis

Regression Models for a Continuous Outcome Subject to Pooling

Robust Statistical Methods for Handling Missing Data