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09/09/2023
Simultaneous Modeling of Disease Screening and Severity Prediction: A Multi-task and Sparse Regularization Approach
Disease prediction is one of the central problems in biostatistical rese...
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03/31/2023
An interpretable neural network-based non-proportional odds model for ordinal regression with continuous response
This study proposes an interpretable neural network-based non-proportion...
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06/26/2021
Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference
Estimators for causal quantities sometimes suffer from outliers. We inve...
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09/07/2020
