dc.contributor.author | Simila, Hazel O | |
dc.contributor.author | Gakonyo, Joseph | |
dc.contributor.author | Kagereki, Edwin | |
dc.date.accessioned | 2021-03-25T07:41:43Z | |
dc.date.available | 2021-03-25T07:41:43Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Kagereki E, Gakonyo JM SOH. "Significance Bias: An Empirical Evaluation of the Oral Health Literature." BioMed Central Oral Health. 2016. | en_US |
dc.identifier.uri | https://profiles.uonbi.ac.ke/simila/publications/significance-bias-empirical-evaluation-oral-health-literature | |
dc.identifier.uri | http://erepository.uonbi.ac.ke/handle/11295/154824 | |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | P-value, File drawer effect, Data-dredging, Evidential value, Significance bias | en_US |
dc.title | Significance bias: an empirical evaluation of the oral health literature | en_US |
dc.type | Article | en_US |