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Brain Network-Based Statistical Approaches for Neuroimaging Data
1 di 10
On estimating the spatial distribution of Yersinia pestis in the United States using a wide-ranging sentinel species and spatial statistics with sampling considerations
2 di 10
Likelihood Methods for Logistic
Regression with Missing Data
3 di 10
Estimation of Epidemic Model Parameters: A Spatial Analysis using
Bayesian Techniques
4 di 10
Associations between race, socioeconomic status and non-fatalinjuries in Atlanta between 2001-2004
5 di 10
Understanding and Modeling the Uncertainty in the American
Community Survey: Detecting the Spatial Correlation in Uncertainty
at the County Level with Conditional Autoregressive Models
6 di 10
Mixture Modeling to Determine Population-Specific Cutoffs for
Quantitative Diagnostic Tests without Gold Standards
7 di 10
Bayesian Spatial-temporal Models for Areal Count Data
8 di 10
Methods for Addressing Spatial Correlations in Functional
Neuroimaging Data
9 di 10
A Spatial Analysis of Malaria and Related Health Outcomes in
Pregnant Women in Guatemala
10 di 10