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Regression Models for a Continuous Outcome Subject to Pooling
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Spatial and spatial-temporal point process analysis
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Bayesian Feature Selection Methods for Complex Biomedical Data
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Statistical Methods for Causal Inference in Observational Studies
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Semiparametric efficient and robust estimation of treatment
effect from observational data
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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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Multiple Roots in Logistic Regression With Errors-in-Covariates
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Evaluating Scalable Markov Chain Monte Carlo Algorithms for Big Data Problems
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Associations between Circulating Endothelial Progenitor Cells and Renal Function
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Estimation of Potential Outcomes when Treatment Assignment and Discontinuation Compete in Observational Data
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