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Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials
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Advances in Causal Inference to Support Vaccine Development and Evaluation
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Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status
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Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems
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Probabilistic clustering of complex biomarker data for Alzheimer’s Disease
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Statistical Methods for Analyzing Compositional Human Microbiome Data
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Statistical Methods for Mediation Analysis of Omics Data
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Prediction Approaches for High-dimensional and Complex Neuroimaging Data
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Improvements in statistical machine learning for current problems in public health
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Relaxed Conditional Bootstrap Inference for Sparse Data Under a Rectangular Array Embedding
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Ambient Air Pollution Estimation Using Bayesian Hierarchical Models
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Topics in Data Integration Methods for Neuroimaging and Generalized Additive Mixed Models for Ambulatory Blood Pressure Curves and Psychosocial Stressors
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Flexible Methods to Incorporate Covariates in Latent Class Analysis
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New Statistical Methods for Complex Survival Analysis Problems
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Latent Class Methods for Complex Chronic Disease Data
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Statistical Methods for Brain Network Estimation
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Statistical Methods for Spatial Data in Public Health
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Estimates of Influenza Vaccine Effectiveness from Observational Studies
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Novel Statistical and Machine Learning Methods with Application to Brain Imaging Data
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Network-Based Machine Learning Methods for Omics Data
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Spatial Latent Process Models to Overcome Preferential Sampling in Disease Surveillance Systems
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Development of Statistical Methods for Multiple-Hypotheses Testing
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Nonparametric Regression for Assessing Time-Varying Effects in Survival Analysis
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Statistical Methods for High-throughput Epigenomics Data
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Statistical Methods for Estimating and Analyzing Brain Functional Connectivity
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Quantifying the Impact of Local SUTVA Violations in Spatiotemporal Causal Models
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Statistical Methods for Handling Missing Data in Functional Data Analysis
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Statistical Methods for Incomplete Big Data
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Statistical Methods for Omics Data Integration
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Machine Learning Methods in Large Scale Neuroimaging Study
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Novel Model-based Methods for High-throughput Genomics Data Analysis
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