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02/25/2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations
End-to-end learning of dynamical systems with black-box models, such as ...
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10/23/2021
Why Machine Learning Cannot Ignore Maximum Likelihood Estimation
The growth of machine learning as a field has been accelerating with inc...
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09/27/2021
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid
While much of the causal inference literature has focused on addressing ...
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07/02/2021
Uncertainty in Lung Cancer Stage for Outcome Estimation via Set-Valued Classification
Difficulty in identifying cancer stage in health care claims data has li...
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05/18/2021
Identifying Undercompensated Groups Defined By Multiple Attributes in Risk Adjustment
Risk adjustment in health care aims to redistribute payments to insurers...
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04/14/2021
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms
We consider an extension of Leo Breiman's thesis from "Statistical Model...
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02/23/2021
A Review of Generalizability and Transportability
When assessing causal effects, determining the target population to whic...
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09/22/2020
Ethical Machine Learning in Health Care
The use of machine learning (ML) in health care raises numerous ethical ...
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01/28/2019
Fair Regression for Health Care Spending
The distribution of health care payments to insurance plans has substant...
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05/20/2018
Stacked Propensity Score Functions for Observational Cohorts with Oversampled Exposed Subjects
Observational cohort studies with oversampled exposed subjects are typic...
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04/22/2018
Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Arterial Access Sites for Opening Blocked Blood Vessels
Percutaneous coronary interventions (PCIs) are nonsurgical procedures to...
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03/14/2018
