A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-05-15 DOI:10.1080/02664763.2024.2346357

Ruohui Chen, Tuo Lin, Lin Liu, Jinyuan Liu, Ruifeng Chen, Jingjing Zou, Chenyu Liu, Loki Natarajan, Wan Tang, Xinlian Zhang, Xin Tu

引用次数: 0

Abstract

The Mann–Whitney–Wilcoxon rank sum test (MWWRST) is a widely used method for comparing two treatment groups in randomized control trials, particularly when dealing with highly skewed data. However,...

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曼-惠特尼-威尔科克逊秩和检验应用于观察研究因果推断时的双重稳健估计器

Mann-Whitney-Wilcoxon 秩和检验 (MWRST) 是一种广泛使用的方法，用于比较随机对照试验中的两个治疗组，尤其是在处理高度倾斜的数据时。然而，...

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.