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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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