Significance bias: an empirical evaluation of the oral health literature
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Date
2016Author
Simila, Hazel O
Gakonyo, Joseph
Kagereki, Edwin
Type
ArticleLanguage
enMetadata
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Background: The tendency to selectively report “significant” statistical results (file-drawers effect) or run selective
analyses to achieve “significant” results (data-dredging) has been observed in many scientific fields. Subsequently,
statistically significant findings may be due to selective reporting rather than a true effect. The p-curve, a
distribution of p-values from a set of studies, is used to study aspects of statistical evidence in a scientific field. The
aim of this study was to assess publication bias and evidential value in oral health research.
URI
https://profiles.uonbi.ac.ke/simila/publications/significance-bias-empirical-evaluation-oral-health-literaturehttp://erepository.uonbi.ac.ke/handle/11295/154824
Citation
Kagereki E, Gakonyo JM SOH. "Significance Bias: An Empirical Evaluation of the Oral Health Literature." BioMed Central Oral Health. 2016.Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
- Faculty of Health Sciences (FHS) [10378]
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