Literature DB >> 15308962

A structural approach to selection bias.

Miguel A Hernán1, Sonia Hernández-Díaz, James M Robins.   

Abstract

The term "selection bias" encompasses various biases in epidemiology. We describe examples of selection bias in case-control studies (eg, inappropriate selection of controls) and cohort studies (eg, informative censoring). We argue that the causal structure underlying the bias in each example is essentially the same: conditioning on a common effect of 2 variables, one of which is either exposure or a cause of exposure and the other is either the outcome or a cause of the outcome. This structure is shared by other biases (eg, adjustment for variables affected by prior exposure). A structural classification of bias distinguishes between biases resulting from conditioning on common effects ("selection bias") and those resulting from the existence of common causes of exposure and outcome ("confounding"). This classification also leads to a unified approach to adjust for selection bias.

Mesh:

Year:  2004        PMID: 15308962     DOI: 10.1097/01.ede.0000135174.63482.43

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  865 in total

1.  Effects of prescription nonsteroidal antiinflammatory drugs on symptoms and disease progression among patients with knee osteoarthritis.

Authors:  Kate L Lapane; Shibing Yang; Jeffrey B Driban; Shao-Hsien Liu; Catherine E Dubé; Timothy E McAlindon; Charles B Eaton
Journal:  Arthritis Rheumatol       Date:  2015-03       Impact factor: 10.995

2.  Effects of glucosamine and chondroitin supplementation on knee osteoarthritis: an analysis with marginal structural models.

Authors:  Shibing Yang; Charles B Eaton; Timothy E McAlindon; Kate L Lapane
Journal:  Arthritis Rheumatol       Date:  2015-03       Impact factor: 10.995

3.  The positivity assumption and marginal structural models: the example of warfarin use and risk of bleeding.

Authors:  Robert William Platt; Joseph Austin Christopher Delaney; Samy Suissa
Journal:  Eur J Epidemiol       Date:  2011-12-08       Impact factor: 8.082

4.  Warfarin use and the risk of stroke, bleeding, and mortality in older adults on dialysis with incident atrial fibrillation.

Authors:  Jingwen Tan; Sunjae Bae; Jodi B Segal; Junya Zhu; G Caleb Alexander; Dorry L Segev; Mara McAdams-DeMarco
Journal:  Nephrology (Carlton)       Date:  2019-02       Impact factor: 2.506

5.  Influence of Injection Drug Use-Related HIV Acquisition on CD4 Response to First Antiretroviral Therapy Regimen Among Virally Suppressed Individuals.

Authors:  Keri L Calkins; Catherine R Lesko; Geetanjali Chander; Richard D Moore; Bryan Lau
Journal:  J Acquir Immune Defic Syndr       Date:  2018-03-01       Impact factor: 3.731

6.  Adjustment for selection bias in observational studies with application to the analysis of autopsy data.

Authors:  S Haneuse; J Schildcrout; P Crane; J Sonnen; J Breitner; E Larson
Journal:  Neuroepidemiology       Date:  2009-01-29       Impact factor: 3.282

7.  Prevention of heart failure in older adults may require higher levels of physical activity than needed for other cardiovascular events.

Authors:  Kanan Patel; Xuemei Sui; Yan Zhang; Gregg C Fonarow; Inmaculada B Aban; Cynthia J Brown; Vera Bittner; Dalane W Kitzman; Richard M Allman; Maciej Banach; Wilbert S Aronow; Stefan D Anker; Steven N Blair; Ali Ahmed
Journal:  Int J Cardiol       Date:  2013-02-04       Impact factor: 4.164

8.  The Uncertainty of the Association Between Proton Pump Inhibitor Use and the Risk of Dementia: Prescription Sequence Symmetry Analysis Using a Korean Healthcare Database Between 2002 and 2013.

Authors:  Sun-Kyeong Park; Yeon-Hee Baek; Nicole Pratt; Lisa Kalisch Ellett; Ju-Young Shin
Journal:  Drug Saf       Date:  2018-06       Impact factor: 5.606

9.  The New York City Mental Health Needs Assessment Study (MHNAS): Objectives, design, and methods.

Authors:  Christina C Norman; Kate McDonald; Amanda E Schneider; Igor Malinovsky; Emily Goldmann; Michael K Blauschild; Cynthia Driver
Journal:  Int J Methods Psychiatr Res       Date:  2018-02-02       Impact factor: 4.035

10.  Implementation of Instrumental Variable Bounds for Data Missing Not at Random.

Authors:  Jessica R Marden; Linbo Wang; Eric J Tchetgen Tchetgen; Stefan Walter; M Maria Glymour; Kathleen E Wirth
Journal:  Epidemiology       Date:  2018-05       Impact factor: 4.822

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.