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11/03/2022
Sensitivity of Bayesian Casual Forests to Modeling Choices: A Re-analysis of the 2022 ACIC Data Challenge
We demonstrate how Hahn et al.'s Bayesian Causal Forests model (BCF) can...
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08/13/2022
Propensity Score Modeling: Key Challenges When Moving Beyond the No-Interference Assumption
The paper presents some models for the propensity score. Considerable at...
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05/23/2022
Semiparametric Efficient Dimension Reduction in multivariate regression with an Inner Envelope
Recently, Su and Cook proposed a dimension reduction technique called th...
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12/05/2021
A Robust, Differentially Private Randomized Experiment for Evaluating Online Educational Programs With Sensitive Student Data
Randomized control trials (RCTs) have been the gold standard to evaluate...
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11/18/2021
Optimal Allocation of Water and Sanitation Facilities To Prevent Communicable Diarrheal Diseases in Senegal Under Partial Interference
For several decades, Senegal has faced inadequate water, sanitation, and...
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10/14/2021
More Efficient, Doubly Robust, Nonparametric Estimators of Treatment Effects in Multilevel Studies
When studying treatment effects in multilevel studies, investigators com...
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12/27/2020
Assumption-Lean Analysis of Cluster Randomized Trials in Infectious Diseases for Intent-to-Treat Effects and Spillover Effects Among A Vulnerable Subpopulation
Cluster randomized trials (CRTs) are a popular design to study the effec...
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06/02/2020
Two Robust Tools for Inference about Causal Effects with Invalid Instruments
Instrumental variables have been widely used to estimate the causal effe...
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04/19/2020
Efficient Semiparametric Estimation of Network Treatment Effects Under Partial Interference
There has been growing interest in causal inference to study treatment e...
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03/14/2020
Inferring Treatment Effects After Testing Instrument Strength in Linear Models
A common practice in IV studies is to check for instrument strength, i.e...
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02/19/2020
ivmodel: An R Package for Inference and Sensitivity Analysis of Instrumental Variables Models with One Endogenous Variable
We present a comprehensive R software ivmodel for analyzing instrumental...
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11/22/2019
Debiased Inverse-Variance Weighted Estimator in Two-Sample Summary-Data Mendelian Randomization
Mendelian randomization (MR) has become a popular approach to study the ...
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11/10/2019
Inference After Selecting Plausibly Valid Instruments with Application to Mendelian Randomization
Mendelian randomization (MR) is a popular method in genetic epidemiology...
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09/16/2019
Weak-Instrument Robust Tests in Two-Sample Summary-Data Mendelian Randomization
Mendelian randomization (MR) is a popular method in genetic epidemiology...
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08/12/2019
A Groupwise Approach for Inferring Heterogeneous Treatment Effects in Causal Inference
There is a growing literature in nonparametric estimation of the conditi...
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08/09/2019
Detecting Heterogeneous Treatment Effect with Instrumental Variables
There is an increasing interest in estimating heterogeneity in causal ef...
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07/15/2019
Increasing Power for Observational Studies of Aberrant Response: An Adaptive Approach
In many observational studies, the interest is in the effect of treatmen...
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08/20/2018
Spillover Effects in Cluster Randomized Trials with Noncompliance
Clustered randomized trials (CRTs) are popular in the social sciences to...
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05/09/2018
Estimation Methods for Cluster Randomized Trials with Noncompliance: A Study of A Biometric Smartcard Payment System in India
Many policy evaluations occur in settings with randomized assignment at ...
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03/30/2016