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Regression Models for a Continuous Outcome Subject to Pooling
Spatial and spatial-temporal point process analysis
Analysis of Data with Complex Misclassification in Response or Predictor Variables by ...
Statistical Methods for Causal Inference in Observational Studies
Statistical Methods for Multi-modal Neuroimaging Data: Techniques for the Combined Ana...
Statistical Methods for Rare-Variant Sequencing Studies in Pedigrees
Statistical Methods for Robust Estimation of Differential Protein Expression
Novel Statistical Methods for Analyzing Next Generation Sequencing Data
Survival Analysis with Covariate Measurement Error
High-dimensional Universal Dependence Discovery
Likelihood Methods for Logistic Regression with Missing Data
Model-Based Statistical Methods for Public Health Surveillance Subject to Imperfect Ob...
Determining Greek Architectural Design Units in the Sanctuary ofthe Great Gods, Samoth...
Comparison of Warfarin and Aspirin in Preventing Symptoms Causedby Atherosclerotic Int...
Statistical Methods to Adjust for Misclassified Repeated Exposures in Modeling Disease...
Some Novel Statistical Methods for Neuroimaging Data Analysis
Development of Novel Analytic Methods for Improved Gene Mapping of Complex Human Traits
Estimation of Potential Outcomes when Treatment Assignment and Discontinuation Compete...
Robust Statistical Methods for Handling Missing Data
Novel Statistical and Machine Learning Methods with Application to Brain Imaging Data
New Statistical Methods for Complex Survival Analysis Problems
Statistical Methods for Brain Network Estimation
Ambient Air Pollution Estimation Using Bayesian Hierarchical Models
Novel Model-based Methods for High-throughput Genomics Data Analysis
Statistical Methods for Estimating and Analyzing Brain Functional Connectivity
Statistical Methods for Spatial Data in Public Health
Statistical Methods for High-throughput Epigenomics Data
Development of Statistical Methods for Multiple-Hypotheses Testing
Topics in Data Integration Methods for Neuroimaging and Generalized Additive Mixed Mod...
Statistical Modeling and Learning in Single Cell RNA Sequencing Data
Spatial Latent Process Models to Overcome Preferential Sampling in Disease Surveillanc...
Flexible Methods to Incorporate Covariates in Latent Class Analysis
Local and Genome-wide Gene Conversion contributes to secondary somatic diversification...
Nonparametric Regression for Assessing Time-Varying Effects in Survival Analysis
Statistical Methods for Handling Missing Data in Functional Data Analysis
Estimates of Influenza Vaccine Effectiveness from Observational Studies
Statistical Methods for Omics Data Integration
Dietary Incorporation: Health Implications of Migration to the United States
Statistical Methods for Incomplete Big Data
Machine Learning Methods in Large Scale Neuroimaging Study
Network-Based Machine Learning Methods for Omics Data
Latent Class Methods for Complex Chronic Disease Data
Quantifying the Impact of Local SUTVA Violations in Spatiotemporal Causal Models
Improvements in statistical machine learning for current problems in public health
Prediction Approaches for High-dimensional and Complex Neuroimaging Data
Statistical approaches to understanding between and within host dynamics of infectious...
Causal Inference in Multilayered Networks
COVID-19 Mitigation Strategies: Implications for Pandemic Control and the Incidence of...
Relaxed Conditional Bootstrap Inference for Sparse Data Under a Rectangular Array Embe...
Statistical Methods for Mediation Analysis of Omics Data
Statistical Methods for Analyzing Compositional Human Microbiome Data
Probabilistic clustering of complex biomarker data for Alzheimer’s Disease
Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclass...
Advances in Causal Inference to Support Vaccine Development and Evaluation
Methods for Improving the Interpretability and Evaluation of Machine Learning Models a...
Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational ...