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Statistics & Probability
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Calibration plots for multistate risk predictions models
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A Bayesian latent variable model for the optimal identification of disease incidence rates given information constraints
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A framework for understanding selection bias in real-world healthcare data
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Forecasting U.S. inflation using Bayesian nonparametric models
Annals of Applied Statistics
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Understanding the Consequences of Collinearity for Multilevel Models: The Importance of Disaggregation Across Levels
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Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods
Multivariate Behavioral Research
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A fast bootstrap algorithm for causal inference with large data
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Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains
Annals of Applied Statistics
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Investigating swimming technical skills by a double partition clustering of multivariate functional data allowing for dimension selection
Annals of Applied Statistics
2024-05-12
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