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07/09/2021
Hölder Bounds for Sensitivity Analysis in Causal Reasoning
We examine interval estimation of the effect of a treatment T on an outc...
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04/16/2021
Causal Mediation Analysis for Longitudinal Mediators and Survival Outcomes
Causal mediation analysis studies how the treatment effect of an exposur...
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02/28/2021
Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-observations
Survival outcomes are common in comparative effectiveness studies and re...
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10/23/2020
Counterfactual Representation Learning with Balancing Weights
A key to causal inference with observational data is achieving balance i...
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10/17/2020
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
It is often critical for prediction models to be robust to distributiona...
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10/15/2020
Double Robust Representation Learning for Counterfactual Prediction
Causal inference, or counterfactual prediction, is central to decision m...
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07/03/2020
Causal Mediation Analysis for Sparse and Irregular Longitudinal Data
Causal mediation analysis aims to investigate how the treatment effect o...
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06/14/2020
Survival Analysis meets Counterfactual Inference
There is growing interest in applying machine learning methods for count...
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05/18/2020
Is being an only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's One-Child Policy
This paper evaluates the effects of being an only child in a family on p...
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05/18/2020
Is being the only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's One-Child Policy
This paper evaluates the effects of being the only child in a family on ...
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04/21/2020
