Significance bias: an empirical evaluation of the oral health literature
Simila, Hazel O
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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.
CitationKagereki E, Gakonyo JM SOH. "Significance Bias: An Empirical Evaluation of the Oral Health Literature." BioMed Central Oral Health. 2016.
University of Nairobi
RightsAttribution-NonCommercial-NoDerivs 3.0 United States
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