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Brain Network-Based Statistical Approaches for Neuroimaging Data
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On estimating the spatial distribution of Yersinia pestis in the United States using a wide-ranging sentinel species and spatial statistics with sampling considerations
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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 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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New Statistical Techniques for High-dimensional Neuroimaging Data
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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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Novel Model-based Methods for High-throughput Genomics Data Analysis
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