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Brain Network-Based Statistical Approaches for Neuroimaging Data
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Ambient Air Pollution Estimation Using Bayesian Hierarchical Models
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Statistical Methods for Spatial Data in Public Health
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Estimating County-Level Drug Overdose Mortality in Georgia with Mixed-Effects Poisson Regression Modeling
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Statistical Methods for Estimating and Analyzing Brain Functional Connectivity
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Model-Based Statistical Methods for Public Health Surveillance
Subject to Imperfect Observations
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Likelihood Methods for Logistic
Regression with Missing Data
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Estimation of Epidemic Model Parameters: A Spatial Analysis using
Bayesian Techniques
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Bayesian Space-time Analysis in Carcinogenesis
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Bayesian Spatial-temporal Models for Areal Count Data
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Methods for Addressing Spatial Correlations in Functional
Neuroimaging Data
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Methods for Estimating the Effect of Air Pollution on Asthma under a Changing Climate
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Modeling the preventive effectiveness of Influenza vaccination
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The Association of Ozone and Particulate Matter Exposure to AsthmaRelated Hospital Visits in Mississippi
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Penalized Linear Regression and a Flexible Alternative
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Statistical Methods for Multi-modal Neuroimaging Data: Techniques
for the Combined Analysis of Brain Function and Structure
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Bayesian Feature Selection Methods for Complex Biomedical Data
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A New Permutation-Based Method for Assessing Observer Agreement
with Replicated and Repeated Observations
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Spatial and spatial-temporal point process analysis
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Issues in Causal Inference and Applications to Public Health
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Statistical Performance of Spatial Systems
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New Statistical Techniques for High-dimensional Neuroimaging Data
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Possible benefits of the "logistic flip" in discerning between
two logistic regression models
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Centralization in Small Graphs
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Quantifying the Impact of Local SUTVA Violations in Spatiotemporal Causal Models
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Association Between Anti-Human Trafficking Legislation Adherence and Prosecution Rates among 142 Countries from 2003-2011
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An Additive Spatiotemporal Covariance Function Using Stream and River Distance
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Novel Model-based Methods for High-throughput Genomics Data Analysis
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