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04/19/2023
Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions
We used survival analysis to quantify the impact of postdischarge evalua...
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10/20/2022
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery
The Work Disability Functional Assessment Battery (WD-FAB) is a multidim...
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08/28/2022
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death
We developed an inherently interpretable multilevel Bayesian framework f...
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12/08/2020
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Dimensionality reduction methods for count data are critical to a wide r...
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10/03/2020
Regularized Bayesian calibration and scoring of the WD-FAB IRT model improves predictive performance over maximum marginal likelihood
Item response theory (IRT) is the statistical paradigm underlying a domi...
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12/05/2019
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models
Item response theory (IRT) is a non-linear generative probabilistic para...
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08/21/2012