Literature DB >> 33235356

Selection bias can creep into unselected cohorts and produce counterintuitive findings.

Steven D Stovitz1, Hailey R Banack2, Jay S Kaufman3.   

Abstract

Mesh：

Year:  2020        PMID： 33235356     DOI： 10.1038/s41366-020-00720-2

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN： 0307-0565            Impact factor:   5.095


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  7 in total

1.  A structural approach to selection bias.

Authors:  Miguel A Hernán; Sonia Hernández-Díaz; James M Robins
Journal:  Epidemiology       Date:  2004-09       Impact factor: 4.822

2.  Untangling the paradox: Obesity as prognostic marker in prevalent cardiovascular disease.

Authors:  Emily C O'Brien; Laine E Thomas
Journal:  Am Heart J       Date:  2015-12-01       Impact factor: 4.749

3.  Can Collider Bias Explain Paradoxical Associations?

Authors:  Mats Julius Stensrud; Morten Valberg; Odd O Aalen
Journal:  Epidemiology       Date:  2017-07       Impact factor: 4.822

4.  Reflection on modern methods: selection bias-a review of recent developments.

Authors:  Claire Infante-Rivard; Alexandre Cusson
Journal:  Int J Epidemiol       Date:  2018-10-01       Impact factor: 7.196

5.  Structural Bias in Studies of Cardiovascular Disease: Let's Not Be Fooled by the "Obesity Paradox".

Authors:  Steven D Stovitz; Hailey R Banack; Jay S Kaufman
Journal:  Can J Cardiol       Date:  2017-11-07       Impact factor: 5.223

6.  Paediatric obesity appears to lower the risk of diabetes if selection bias is ignored.

Authors:  Steven D Stovitz; Hailey R Banack; Jay S Kaufman
Journal:  J Epidemiol Community Health       Date:  2018-01-26       Impact factor: 3.710

7.  A Robust Example of Collider Bias in a Genetic Association Study.

Authors:  Felix R Day; Po-Ru Loh; Robert A Scott; Ken K Ong; John R B Perry
Journal:  Am J Hum Genet       Date:  2016-02-04       Impact factor: 11.025
  7 in total
  1 in total

1.  Obesity measures, metabolic health and their association with 15-year all-cause and cardiovascular mortality in the SAMINOR 1 Survey: a population-based cohort study.

Authors:  Vilde Lehne Michalsen; Sarah H Wild; Kirsti Kvaløy; Johan Svartberg; Marita Melhus; Ann Ragnhild Broderstad
Journal:  BMC Cardiovasc Disord       Date:  2021-10-21       Impact factor: 2.298
  1 in total

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