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Selection bias in epidemiologic studies

Version 3 2024-03-12, 15:11
Version 2 2024-02-12, 09:40
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posted on 2024-03-12, 15:11 authored by Graham LawGraham Law, Paul D. Baxter, Mark S. Gilthorpe

Bias is inherent in epidemiology, and researchers go to great lengths to avoid introducing bias into their studies. However, some bias is inevitable, and bias due to selection is particularly common. We discuss ways to identify bias and how authors have approached removing or adjusting for bias using statistical methods. © Springer Science+Business Media Dordrecht 2012.

History

School affiliated with

  • School of Health and Social Care (Research Outputs)

Publication Title

Modern methods for epidemiology

Pages/Article Number

57-71

Publisher

Springer Netherlands

ISBN

9789400730243

Date Submitted

2017-03-09

Date Accepted

2017-03-09

Date of First Publication

2017-03-09

Date of Final Publication

2017-03-09

ePrints ID

26517

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    University of Lincoln (Research Outputs)

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