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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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Flexible Methods to Incorporate Covariates in Latent Class Analysis
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New Thoughts on Using Elemental and Non-Elemental Sets to
Produce Robust Estimates of Regression Coefficients
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Likelihood Methods for Logistic
Regression with Missing Data
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Survival Analysis with Covariate Measurement Error
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Bayesian Analysis for Repeated Compositional Data and Approaches
for Correcting Measurement Errors in General Multivariate Linear
Model
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Estimation of Potential Outcomes when Treatment Assignment and Discontinuation Compete in Observational Data
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Joint Modeling Approaches for Clustered Survival Data with Random Cluster Size
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Improving Surveillance for the Hidden Half of Fetal-Infant Mortality
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