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09/29/2022
Mask-Guided Image Person Removal with Data Synthesis
As a special case of common object removal, image person removal is play...
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12/11/2020
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome
In the absence of a randomized experiment, a key assumption for drawing ...
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08/18/2020
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
The preponderance of large-scale healthcare databases provide abundant o...
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01/17/2020
Estimation of Causal Effects of Multiple Treatments in Observational Studies with a Binary Outcome
There is a dearth of robust methods to estimate the causal effects of mu...
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04/17/2019
Predict Future Sales using Ensembled Random Forests
This is a method report for the Kaggle data competition 'Predict future ...
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01/11/2019
The Estimation of Causal Effects of Multiple Treatments in Observational Studies Using Bayesian Additive Regression Trees
There is currently a dearth of appropriate methods to estimate the causa...
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04/14/2018