Weber, E.J. and Hoo, Z. orcid.org/0000-0002-7067-3783 (2018) Why sample size estimates? Emergency medicine journal, 35 (12). pp. 755-756. ISSN 1472-0205
Abstract
Sample size estimates are critical to the planning and interpretation of clinical studies, whether they are descriptive or analytical. Too small a sample size will result in imprecise estimates in a descriptive study and failure to achieve ’statistical significance’ in an analytic or comparative study. Here we discuss what both researchers and readers should understand about the reasons for sample size estimates, how they are done and how achieving or not achieving the desired sample size can affect the interpretation of the outcomes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Author(s) (or their employer(s)). This is an author produced version of a paper subsequently published in Emergency Medicine Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research The University of Sheffield > Sheffield Teaching Hospitals |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Aug 2018 11:04 |
Last Modified: | 19 Oct 2021 15:05 |
Status: | Published |
Publisher: | BMJ Publishing Group |
Refereed: | Yes |
Identification Number: | 10.1136/emermed-2018-207763 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135070 |