Understanding how health interventions or exposures produce their effects using mediation analysis

被引：28

作者：

Cashin, Aidan G. ^{[1
,2
]}

McAuley, James H. ^{[1
,2
]}

VanderWeele, Tyler J. ^{[3
,4
]}

Lee, Hopin ^{[5
,6
,7
]}

机构：

[1] Neurosci Res Australia, Ctr Pain IMPACT, Sydney, NSW, Australia

[2] Univ New South Wales, Fac Med & Hlth, Sch Hlth Sci, Sydney, NSW, Australia

[3] Harvard Univ, TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA USA

[4] Harvard Univ, TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA

[5] Univ Oxford, Ctr Stat Med, Nuffield Dept Orthopaed Rheumatol & Musculoskeleta, Oxford, England

[6] Univ Exeter, Fac Hlth & Life Sci, Exeter, England

[7] IQVIA, London, England

来源：

BMJ-BRITISH MEDICAL JOURNAL | 2023年 / 382卷

关键词：

CAUSAL INTERPRETATION; DECOMPOSITION; TRIALS; SAS;

D O I：

10.1136/bmj-2022-071757

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Mediation analysis is a method that quantifies how health exposures, such as medical interventions, change patient outcomes. Evidence that is generated from mediation analyses is important for intervention development and clinical and policy decision making. Mediation analysis has many applications that require specific and careful consideration for design, conduct, analysis, and interpretation. This article outlines motivations, effect types, causal assumptions, estimation, and reporting guidance for mediation analysis studies that aim to improve their conduct, interpretation, and implementation.

引用

页数：8

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