残余混杂控制中的高维倾向得分及其机器学习扩展

IF 1.8 4区数学 Q1 STATISTICS & PROBABILITY

American Statistician Pub Date : 2024-06-17 DOI:10.1080/00031305.2024.2368794

Mohammad Ehsanul Karim

引用次数: 0

摘要

"由于遗漏变量、可用混杂因素的不准确或误测等普遍问题，医疗索赔数据集的使用经常受到批评。归根结底，这些数据...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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High-dimensional propensity score and its machine learning extensions in residual confounding control

“The use of health care claims datasets often encounters criticism due to the pervasive issues of omitted variables and inaccuracies or mis-measurements in available confounders. Ultimately, the tr...

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来源期刊

American Statistician 数学-统计学与概率论

CiteScore

3.50

自引率

5.60%

发文量

审稿时长

>12 weeks

期刊介绍： Are you looking for general-interest articles about current national and international statistical problems and programs; interesting and fun articles of a general nature about statistics and its applications; or the teaching of statistics? Then you are looking for The American Statistician (TAS), published quarterly by the American Statistical Association. TAS contains timely articles organized into the following sections: Statistical Practice, General, Teacher''s Corner, History Corner, Interdisciplinary, Statistical Computing and Graphics, Reviews of Books and Teaching Materials, and Letters to the Editor.