Suppr超能文献

水会致命吗?呼吁减少随意的因果推断。

Does water kill? A call for less casual causal inferences.

作者信息

Hernán Miguel A

机构信息

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA; Harvard-MIT Division of Health Sciences and Technology, Boston, MA.

出版信息

Ann Epidemiol. 2016 Oct;26(10):674-680. doi: 10.1016/j.annepidem.2016.08.016. Epub 2016 Aug 31.

Abstract

"Can this number be interpreted as a causal effect?" is a key question for scientists and decision makers. The potential outcomes approach, a quantitative counterfactual theory, describes conditions under which the question can be answered affirmatively. This article reviews one of those conditions, known as consistency, and its implications for real world decisions.

摘要

“这个数字能否被解释为一种因果效应?”这是科学家和决策者面临的一个关键问题。潜在结果方法,一种定量反事实理论,描述了在哪些条件下这个问题可以得到肯定的回答。本文回顾了其中一个条件,即一致性,及其对现实世界决策的影响。

相似文献

1
Does water kill? A call for less casual causal inferences.
Ann Epidemiol. 2016 Oct;26(10):674-680. doi: 10.1016/j.annepidem.2016.08.016. Epub 2016 Aug 31.
2
Heeding the call for less casual causal inferences: the utility of realized (quantitative) causal effects.
Ann Epidemiol. 2017 Jun;27(6):402-405. doi: 10.1016/j.annepidem.2017.05.012. Epub 2017 May 17.
3
Concerning the consistency assumption in causal inference.
Epidemiology. 2009 Nov;20(6):880-3. doi: 10.1097/EDE.0b013e3181bd5638.
4
Causal inference based on counterfactuals.
BMC Med Res Methodol. 2005 Sep 13;5:28. doi: 10.1186/1471-2288-5-28.
5
The role of counterfactual theory in causal reasoning.
Ann Epidemiol. 2016 Oct;26(10):681-682. doi: 10.1016/j.annepidem.2016.08.017. Epub 2016 Aug 31.
6
Compound treatments and transportability of causal inference.
Epidemiology. 2011 May;22(3):368-77. doi: 10.1097/EDE.0b013e3182109296.
7
Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches.
Annu Rev Public Health. 2000;21:121-45. doi: 10.1146/annurev.publhealth.21.1.121.
8
An introduction to causal inference.
Int J Biostat. 2010 Feb 26;6(2):Article 7. doi: 10.2202/1557-4679.1203.
9
Causal identification: a charge of epidemiology in danger of marginalization.
Ann Epidemiol. 2016 Oct;26(10):669-673. doi: 10.1016/j.annepidem.2016.03.013. Epub 2016 Apr 30.
10
Bounding causal effects under uncontrolled confounding using counterfactuals.
Epidemiology. 2005 Jul;16(4):548-55. doi: 10.1097/01.ede.0000166500.23446.53.

引用本文的文献

1
Missing the target in target trial emulation.
Crit Care. 2025 Jul 1;29(1):266. doi: 10.1186/s13054-025-05515-3.
4
Estimating the Effects of Lifestyle Interventions on Mortality Among Cancer Survivors: A Methodologic Framework.
Epidemiology. 2025 Sep 1;36(5):705-718. doi: 10.1097/EDE.0000000000001889. Epub 2025 Jun 3.
6
Unequal enforcement, unequal inference: rethinking how we define policy exposures.
Health Aff Sch. 2025 Mar 28;3(4):qxaf063. doi: 10.1093/haschl/qxaf063. eCollection 2025 Apr.
9
The Target Trial Framework for Causal Inference From Observational Data: Why and When Is It Helpful?
Ann Intern Med. 2025 Mar;178(3):402-407. doi: 10.7326/ANNALS-24-01871. Epub 2025 Feb 18.
10
The gap-closing estimand: A causal approach to study interventions that close disparities across social categories.
Sociol Methods Res. 2024 May;53(2):507-570. doi: 10.1177/00491241211055769. Epub 2022 Jan 13.

本文引用的文献

1
A Comparison of Agent-Based Models and the Parametric G-Formula for Causal Inference.
Am J Epidemiol. 2017 Jul 15;186(2):131-142. doi: 10.1093/aje/kwx091.
2
Commentary: Counterfactual causation and streetlamps: what is to be done?
Int J Epidemiol. 2016 Dec 1;45(6):1830-1835. doi: 10.1093/ije/dyw231.
4
Commentary: On Causes, Causal Inference, and Potential Outcomes.
Int J Epidemiol. 2016 Dec 1;45(6):1809-1816. doi: 10.1093/ije/dyw230.
6
Causal identification: a charge of epidemiology in danger of marginalization.
Ann Epidemiol. 2016 Oct;26(10):669-673. doi: 10.1016/j.annepidem.2016.03.013. Epub 2016 Apr 30.
7
Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses.
J Clin Epidemiol. 2016 Nov;79:70-75. doi: 10.1016/j.jclinepi.2016.04.014. Epub 2016 May 27.
8
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.
Am J Epidemiol. 2016 Apr 15;183(8):758-64. doi: 10.1093/aje/kwv254. Epub 2016 Mar 18.
9
Causality and causal inference in epidemiology: the need for a pluralistic approach.
Int J Epidemiol. 2016 Dec 1;45(6):1776-1786. doi: 10.1093/ije/dyv341.
10
Is the "well-defined intervention assumption" politically conservative?
Soc Sci Med. 2016 Oct;166:254-257. doi: 10.1016/j.socscimed.2015.10.054. Epub 2015 Oct 28.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验