Keeble, C, Law, GR, Barber, S et al. (1 more author) (2015) Choosing a method to reduce selection bias: A tool for researchers. Open Journal of Epidemiology, 5 (3). 155 - 162. ISSN 2165-7459
Abstract
Selection bias is well known to affect surveys and epidemiological studies. There have been numerous methods proposed to reduce its effects, so many that researchers may be unclear which method is most suitable for their study; the wide choice may even deter some researchers, for fear of choosing a sub-optimal approach. We propose a straightforward tool to inform researchers of the most promising methods available to reduce selection bias and to assist the search for an appropriate method given their study design and details. We demonstrate the tool using three exam- ples where selection bias may occur; the tool quickly eliminates inappropriate methods and guides the researcher towards those to consider implementing. If more studies con- sider selection bias and adopt methods to reduce it, valuable time and resources will be saved, and should lead to more focused research towards disease prevention or cure.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Selection Bias, Participation Bias, Non-Response, Methodology |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Division of Epidemiology & Biostatistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Sep 2015 14:46 |
Last Modified: | 01 Mar 2019 11:53 |
Published Version: | http://dx.doi.org/10.4236/ojepi.2015.53020 |
Status: | Published |
Publisher: | Scientific Research Publishing |
Identification Number: | 10.4236/ojepi.2015.53020 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:87269 |