Quantifying the impact of unmeasured confounding in observational studies with the E value

被引：17
|
作者：
Gaster, Tobias [1 ]
Eggertsen, Christine Marie [1 ]
Stovring, Henrik [2 ,3 ]
Ehrenstein, Vera [4 ,5 ]
Petersen, Irene [4 ,5 ,6 ]
机构：
[1] Aarhus Univ, Aarhus, Denmark
[2] Steno Diabet Ctr Aarhus, Aarhus, Denmark
[3] Univ Southern Denmark, Clin Pharmacol Pharm & Environm Med, Odense, Denmark
[4] Aarhus Univ, Dept Clin Epidemiol, DK-8000 Aarhus, Denmark
[5] Aarhus Univ Hosp, Aarhus, Denmark
[6] UCL, Dept Primary Care & Populat Hlth, London, England
来源：
BMJ MEDICINE | 2023年 / 2卷 / 01期
关键词：
Pregnancy complications; Epidemiology; Obstetrics; SEROTONIN REUPTAKE INHIBITORS; SENSITIVITY-ANALYSIS; MISCARRIAGE; PREGNANCY; RISK;
D O I：
10.1136/bmjmed-2022-000366
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
The E value method deals with unmeasured confounding, a key source of bias in observational studies. The E value method is described and its use is shown in a worked example of a meta-analysis examining the association between the use of antidepressants in pregnancy and the risk of miscarriage.
引用
收藏
页数：5
相关论文
共 50 条
  • [41] A method for sample size calculation via E-value in the planning of observational studies
    Fang, Yixin
    He, Weili
    Hu, Xiaofei
    Wang, Hongwei
    PHARMACEUTICAL STATISTICS, 2021, 20 (01) : 163 - 174
  • [42] Tebentafusp Versus Nivolumab Plus Ipilimumab for Metastatic Uveal Melanoma: An E-Value Sensitivity Analysis Assessing Effect of Unmeasured Confounders on Observational Associations
    Zhang, Na
    Qiao, Yu-Wei
    Su, Dan
    Yu, Guo
    Li, Guo-Fu
    CLINICAL DRUG INVESTIGATION, 2025, 45 (03) : 165 - 168
  • [43] Confounding, causality, and confusion: the role of intermediate variables in interpreting observational studies in obstetrics
    Ananth, Cande V.
    Schisterman, Enrique F.
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2017, 217 (02) : 167 - 175
  • [44] Confounding adjustment in observational studies on cardiothoracic interventions: a systematic review of methodological practice
    Velders, Bart J. J.
    Boltje, J. W. Taco
    Vriesendorp, Michiel D.
    Klautz, Robert J. M.
    Le Cessie, Saskia
    Groenwold, Rolf H. H.
    EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2023, 64 (04)
  • [45] Poor Quality of Reporting Confounding Bias in Observational Intervention Studies: A Systematic Review
    Groenwold, Rolf H. H.
    Van Deursen, Anna M. M.
    Hoes, Arno W.
    Hak, Eelko
    ANNALS OF EPIDEMIOLOGY, 2008, 18 (10) : 746 - 751
  • [46] A statistic with demonstrated insensitivity to unmeasured bias for 2 x 2 x S tables in observational studies
    Rosenbaum, Paul R.
    STATISTICS IN MEDICINE, 2022, 41 (19) : 3758 - 3771
  • [47] Confounding and bias in observational studies in inflammatory bowel disease: a meta-epidemiological study
    Piovani, Daniele
    Pansieri, Claudia
    Peyrin-Biroulet, Laurent
    Danese, Silvio
    Bonovas, Stefanos
    ALIMENTARY PHARMACOLOGY & THERAPEUTICS, 2021, 53 (06) : 712 - 721
  • [48] The confounder matrix: A tool to assess confounding bias in systematic reviews of observational studies of etiology
    Petersen, Julie M.
    Barrett, Malcolm
    Ahrens, Katherine A.
    Murray, Eleanor J.
    Bryant, Allison S.
    Hogue, Carol J.
    Mumford, Sunni L.
    Gadupudi, Salini
    Fox, Matthew P.
    Trinquart, Ludovic
    RESEARCH SYNTHESIS METHODS, 2022, 13 (02) : 242 - 254
  • [49] Consideration of confounding was suboptimal in the reporting of observational studies in psychiatry: a meta-epidemiological study
    Munkholm, Klaus
    Faurholt-Jepsen, Maria
    Ioannidis, John P. A.
    Hemkens, Lars G.
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 2020, 119 : 75 - 84
  • [50] The value of observational studies in eye care today
    Chalmers, Robin L.
    CONTACT LENS & ANTERIOR EYE, 2021, 44 (05)
12345