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Hierarchical Bayes Small Area Estimation Model using 'Stan'
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Hierarchical Bayesian Space-Time Models for Gaussian Space-Time Data
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Interval Estimation of Linear Models with Heteroskedasticity
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Design and Analysis of Hierarchical Composite Endpoints
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Hierarchical Cluster Analysis (Learning Didactically)
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Regression with a Large Number of Potential Explanatory Variables
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Estimate, Compare, and Visualize Healthcare Resource Utilization for Real-World Evidence
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Calculates Significance Criteria and Power for a Single Arm Trial
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Group Sequential Design for Historical Control Trial with Survival Outcome
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Change-Point Analysis of High-Dimensional Time Series via Binary Segmentation
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High Dimensional Bayesian Ridge Regression without MCMC
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High Dimensional Supervised Classification and Clustering
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Distribution-Free Exact High Dimensional Low Sample Size k-Sample Tests
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Inference for High-Dimensional Mixture Transition Distribution Models
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