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How to mitigate confounding factors in observational studies.

作者信息

Sumie Makoto, Yang Alan, Hayes Jason, Yamaura Ken, Aoyama Kazuyoshi

机构信息

Program in Child Health Evaluative Sciences, SickKids Research Institute, Toronto, ON, Canada.

Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, 555 University Ave, #2211, Toronto, ON, M5G 1X8, Canada.

出版信息

J Anesth. 2023 Oct;37(5):663-665. doi: 10.1007/s00540-023-03236-x. Epub 2023 Aug 2.

DOI:10.1007/s00540-023-03236-x
PMID:37530815
Abstract
摘要

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本文引用的文献

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The Fragility Index of randomized controlled trials in pediatric anesthesiology.儿科麻醉学随机对照试验的脆弱性指数。
Can J Anaesth. 2023 Sep;70(9):1449-1460. doi: 10.1007/s12630-023-02513-3. Epub 2023 Jun 8.
2
A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies: The AGReMA Statement.随机试验和观察性研究中介分析报告的指南：AGReMA 声明。
JAMA. 2021 Sep 21;326(11):1045-1056. doi: 10.1001/jama.2021.14075.
3
Dexmedetomidine vs. total intravenous anaesthesia in paediatric emergence delirium: A network meta-analysis.
运用多层次回归分析，以确定因患者、从业者以及医院或卫生系统实践差异而导致的临床麻醉中的关联，并估计其因果关系。
J Anesth. 2025 Feb;39(1):134-145. doi: 10.1007/s00540-024-03408-3. Epub 2024 Sep 18.
右美托咪定与全凭静脉麻醉在小儿苏醒性谵妄中的比较：一项网状荟萃分析。
Eur J Anaesthesiol. 2021 Nov 1;38(11):1111-1123. doi: 10.1097/EJA.0000000000001490.
4
Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review.儿科全身麻醉后谵妄发生的风险预测模型：系统评价。
BMJ Open. 2021 Jan 6;11(1):e043968. doi: 10.1136/bmjopen-2020-043968.
5
Determining Associations and Estimating Effects with Regression Models in Clinical Anesthesia.临床麻醉中应用回归模型确定关联并估计效应。
Anesthesiology. 2020 Sep;133(3):500-509. doi: 10.1097/ALN.0000000000003425.
6
Mediation Analysis.中介分析
JAMA. 2019 Feb 19;321(7):697-698. doi: 10.1001/jama.2018.21973.
7
Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies.使用E值评估观察性研究中未测量混杂因素的潜在影响。
JAMA. 2019 Feb 12;321(6):602-603. doi: 10.1001/jama.2018.21554.
8
Fixed effects analysis of repeated measures data.重复测量数据的固定效应分析。
Int J Epidemiol. 2014 Feb;43(1):264-9. doi: 10.1093/ije/dyt221. Epub 2013 Dec 23.