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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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Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations
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Clustering the Liver Measures of Women Living with HIV
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Evaluating the performance of maximum likelihood estimation in a discriminant function framework to account for non-detectable exposure measurements in matched case-control studies
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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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Prediction of CBC Hemoglobin Levels for Preterm Infants: Evaluation of Anatomic Regions for Smartphone Photos
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Integrate Proteomics Data with GWAS Summary data for Studying Alzheimer’s Disease by Nonparametric Bayesian Method
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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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