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07/20/2023
Choosing the Right Approach at the Right Time: A Comparative Analysis of Causal Effect Estimation using Confounder Adjustment and Instrumental Variables
In observational studies, unobserved confounding is a major barrier in i...
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09/15/2022
Principles for Estimating Causal Effects in Observational Settings
To estimate causal effects, analysts performing observational studies in...
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04/21/2021
Adjustment for Biased Sampling Using NHANES Derived Propensity Weights
The Consent-to-Contact (C2C) registry at the University of California, I...
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03/17/2021
A Measurement of In-Betweenness and Inference Based on Shape Theories
We propose a statistical framework to investigate whether a given subpop...
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07/29/2020
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning
Reinforcement learning algorithms can show strong variation in performan...
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07/26/2018
A Flexible Joint Longitudinal-Survival Modeling Framework for Incorporating Multiple Longitudinal Biomarkers
We are interested in survival analysis of hemodialysis patients for whom...
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07/06/2018
A Bayesian Framework for Non-Collapsible Models
In this paper, we discuss the non-collapsibility concept and propose a n...
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07/06/2018
