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02/06/2023
A Fast Bootstrap Algorithm for Causal Inference with Large Data
Estimating causal effects from large experimental and observational data...
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08/22/2021
Deep survival analysis with longitudinal X-rays for COVID-19
Time-to-event analysis is an important statistical tool for allocating c...
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10/15/2020
Robust weights that optimally balance confounders for estimating the effect of binary and continuous treatments with time-to-event data
Covariate balance is crucial in obtaining unbiased estimates of treatmen...
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10/26/2019
Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
Many scientific questions require estimating the effects of continuous t...
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08/13/2019
Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching
In causal inference, a variety of causal effect estimands have been stud...
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11/10/2018
More robust estimation of sample average treatment effects using Kernel Optimal Matching in an observational study of spine surgical interventions
Inverse probability of treatment weighting (IPTW), which has been used t...
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11/06/2018
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning
The ability to perform offline A/B-testing and off-policy learning using...
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06/04/2018
