使用 R 软件包 stdReg2 实现新一代回归标准化

IF 3.3 3区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Annals of Epidemiology Pub Date : 2025-04-08 DOI:10.1016/j.annepidem.2025.04.002

Michael C. Sachs , Johan Sebastian Ohlendorff , Adam Brand , Arvid Sjölander , Erin E. Gabriel

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引用次数: 0

摘要

回归标准化是流行病学中进行因果推理的有用工具。我们已经将R包stdReg更新为stdReg2，以便更加用户友好，灵活，并包括两个新功能，一个基于广义线性模型的双鲁棒方法和限制平均生存的回归标准化。旧包stdReg将继续运行，但新用户可能会发现升级后的版本更易于使用。我们将在本文中重点介绍改进和实现。关键词：平均治疗效果，因果推理，回归标准化，统计软件。

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The next generation of regression standardization with the R package stdReg2

Regression standardization is a useful tool for performing causal inference in epidemiology. We have updated the R package stdReg to stdReg2 to be more user-friendly, flexible, and to include two new functionalities, a generalized linear model-based double-robust method and regression standardization for the restricted mean survival. The old package stdReg will continue to function, but new users may find the upgraded version easier to use. We highlight the improvements and implementation in this article. Keywords: average treatment effect, causal inference, regression standardization, statistical software.

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来源期刊

Annals of Epidemiology 医学-公共卫生、环境卫生与职业卫生

CiteScore

7.40

自引率

1.80%

发文量

207

审稿时长

59 days

期刊介绍： The journal emphasizes the application of epidemiologic methods to issues that affect the distribution and determinants of human illness in diverse contexts. Its primary focus is on chronic and acute conditions of diverse etiologies and of major importance to clinical medicine, public health, and health care delivery.