Winner’s Curse Free Robust Mendelian Randomization with Summary Data

Zhongming Xie, Wanheng Zhang, Jingshen Wang et al.

Optimized variance estimation under interference and complex experimental designs

Christopher Harshaw, Joel Middleton, Fredrik Sävje

Factorial Difference-in-Differences*

Peng Ding, Yiqing Xu, Anqi Zhao

Randomization-Based Confidence Sets for the Local Average Treatment Effect

P M Aronow, Haoge Chang, Patrick Lopatto

Summary We consider the problem of generating confidence sets in randomized experiments with noncompliance. We show that a refinemen...

Bounds on causal effects in 2𝑲 factorial experiments with non-compliance

M Blackwell, N E Pashley

Summary Factorial experiments are ubiquitous in the social and biomedical sciences, but when units fail to comply with each assigned...

Multiple randomization designs: estimation and inference with interference

Lorenzo Masoero, Suhas Vijaykumar, Thomas S Richardson et al.

Abstract Completely randomized experiments, originally developed by Fisher and Neyman in the 1930s, are still widely used in practic...

Balancing Weights for Causal Inference in Observational Factorial Studies

Peng Ding, Ruoqi Yu

Asymptotic Validity and Finite-Sample Properties of Approximate Randomization Tests

P Toulis

Abstract Randomization tests rely on simple data transformations and possess an appealing robustness property. In addition to being ...

A more robust approach to multivariable Mendelian randomization

Yinxiang Wu, Hyunseung Kang, Ting Ye

Summary Multivariable Mendelian randomization uses genetic variants as instrumental variables to infer the direct effects of multipl...

Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests

Rahul Mazumder, Brian Liu

We study the often overlooked phenomenon, first noted in Breiman (2001), that random forests appear to reduce bias compared to bagging. Motivated by a...

Fast Approximation of Shapley Values through Fractional Factorial Designs

Zheng Zhou, Robert Mee, Herbert Hamers et al.

A More Robust Approach to Multivariable Mendelian Randomization

Yinxiang Wu, others

Abstract

Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment

Yang Feng, Siyu Heng, Jiawei Zhang

Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures

Ming-Chung Chang

A Bayesian Criterion for Rerandomization

Zhaoyang Liu, Tingxuan Han, Donald B. Rubin et al.

Randomization inference when N equals one

Tengyuan Liang, Benjamin Recht

Summary For decades, $ N $-of-1 experiments, where a unit serves as its own control and treatment in different time windows, have been ...

Noise-induced randomization in regression discontinuity designs

Dean Eckles, Nikolaos Ignatiadis, Stefan Wager et al.

Summary Regression discontinuity designs assess causal effects in settings where treatment is determined by whether an observed running...