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11/20/2022
Pseudo-value regression of clustered multistate current status data with informative cluster sizes
Multistate current status (CS) data presents a more severe form of censo...
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03/18/2022
Efficient Estimation of the Additive Risks Model for Interval-Censored Data
In contrast to the popular Cox model which presents a multiplicative cov...
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08/16/2020
Alleviating Spatial Confounding in Spatial Frailty Models
Spatial confounding is how is called the confounding between fixed and s...
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12/01/2019
Efficient Estimation of Mixture Cure Frailty Model for Clustered Current Status Data
Current status data abounds in the field of epidemiology and public heal...
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04/08/2019
Geostatistical Modeling of Positive Definite Matrices and Its Applications to Diffusion Tensor Imaging
Geostatistical modeling for continuous point-referenced data has been ex...
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03/18/2019
A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging
Diffusion tensor imaging (DTI) is a popular magnetic resonance imaging t...
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02/25/2019
SMARTp: A SMART design for non-surgical treatments of chronic periodontitis with spatially-referenced and non-randomly missing skewed outcomes
This paper proposes dynamic treatment regimes for choosing individualize...
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02/15/2019
BAREB: A Bayesian repulsive biclustering model for periodontal data
Preventing periodontal diseases (PD) and maintaining the structure and f...
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01/31/2019
Bayesian nonparametric multiway regression for clustered binomial data
We introduce a Bayesian nonparametric regression model for data with mul...
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10/10/2018
