Estimating Mann–Whitney‐type Causal Effects

DOI10.1111/insr.12326OpenAlexW2948491221WikidataQ127782882 ScholiaQ127782882MaRDI QIDQ6086585

Shujie Ma, Changyu Shen, Zhiwei Zhang, Chunling Liu

Publication date: 10 November 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12326

zbMATH Keywords

causal inferencedouble robustnessWilcoxon-Mann-Whitney testlocal efficiencyefficient influence functionordinal outcome

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

A Mann-Whitney test of distributional effects in a multivalued treatment

Cites Work

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• Doubly Robust Estimation in Missing Data and Causal Inference Models
• Unified methods for censored longitudinal data and causality
• Semiparametric theory and missing data.
• Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates
• The central role of the propensity score in observational studies for causal effects
• Asymptotic Statistics
• Causal Inference on Quantiles with an Obstetric Application
• Mann–Whitney Test with Adjustments to Pretreatment Variables for Missing Values and Observational Study
• Inference in randomized trials with death and missingness
• Probabilistic Index Models
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other

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