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Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational ...
Advances in Causal Inference to Support Vaccine Development and Evaluation
Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclass...
Methods for Improving the Interpretability and Evaluation of Machine Learning Models a...
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...
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 Embe...
COVID-19 Mitigation Strategies: Implications for Pandemic Control and the Incidence of...
Causal Inference in Multilayered Networks
Ambient Air Pollution Estimation Using Bayesian Hierarchical Models
Topics in Data Integration Methods for Neuroimaging and Generalized Additive Mixed Mod...
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 Surveillanc...
Development of Statistical Methods for Multiple-Hypotheses Testing
Local and Genome-wide Gene Conversion contributes to secondary somatic diversification...
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
Quantifying the Impact of Local SUTVA Violations in Spatiotemporal Causal Models
Statistical Methods for Handling Missing Data in Functional Data Analysis
Statistical Methods for Incomplete Big Data
Statistical Methods for Omics Data Integration
Machine Learning Methods in Large Scale Neuroimaging Study
Novel Model-based Methods for High-throughput Genomics Data Analysis