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Mathur and Shpitser respond to "The evolution of selection bias in the recent epidemiologic literature-a selective overview".

作者信息

Mathur Maya B, Shpitser Ilya

机构信息

Quantitative Sciences Unit, Department of Medicine, Stanford University, Palo Alto, CA 94304, United States.

Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA, 21287.

出版信息

Am J Epidemiol. 2025 Mar 4;194(3):585-586. doi: 10.1093/aje/kwae287.

DOI:10.1093/aje/kwae287
PMID:39214648
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11879549/
Abstract
摘要

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本文引用的文献

1
The evolution of selection bias in the recent epidemiologic literature-a selective overview.近期流行病学文献中选择偏倚的演变——选择性概述。
Am J Epidemiol. 2025 Mar 4;194(3):580-584. doi: 10.1093/aje/kwae282.
2
Simple graphical rules for assessing selection bias in general-population and selected-sample treatment effects.评估一般人群和选定样本治疗效果中选择偏倚的简单图形规则。
Am J Epidemiol. 2025 Jan 8;194(1):267-277. doi: 10.1093/aje/kwae145.
3
Full Law Identification in Graphical Models of Missing Data: Completeness Results.缺失数据图形模型中的完全定律识别:完备性结果
Proc Mach Learn Res. 2020 Jul;119:7153-7163.
4
Identification and estimation of survivor average causal effects.幸存者平均因果效应的识别与估计
Stat Med. 2014 Sep 20;33(21):3601-28. doi: 10.1002/sim.6181. Epub 2014 May 29.