Literature DB >> 22112038

Statistical errors in microleakage studies in operative dentistry. A survey of the literature 2001-2009.

Cristina Lucena1, José M López, Camilo Abalos, Virginia Robles, Rosa Pulgar.   

Abstract

The aim of this study was to assess the literature on microleakage of direct restorations in operative dentistry indexed in the ISI Web of Science, in order to assess the robustness of the statistical methodology used. Our database included 226 scientific papers (published between 2001 and 2009 in 22 journals) from the journal citation report categories 'Dentistry, Oral Surgery and Medicine' and 'Materials Science, Biomaterials'. We reviewed all articles to find potential mistakes that are commonly made at different stages in the scientific research process. Microleakage was assessed quantitatively in 50 (22.2%) studies and qualitatively in 176 (77.8%) studies. In all studies reviewed the statistical methods used were appropriate for the category attributed to the outcome variable, but in 13% of the total, the chi-square test or parametric methods were inappropriately used afterwards. When the appropriate statistical methods were applied in studies that had originally employed inappropriate methods to analyse their data, and in which the authors provided raw data, an alteration of the conclusions was necessary in 15.4% of these re-analysed studies. This survey also showed that the statistical methodology applied varies considerably for similar experimental designs. This could have an effect on statistical results; hence, a more standardized methodology should be implemented.
© 2011 Eur J Oral Sci.

Mesh:

Year:  2011        PMID: 22112038     DOI: 10.1111/j.1600-0722.2011.00892.x

Source DB:  PubMed          Journal:  Eur J Oral Sci        ISSN: 0909-8836            Impact factor:   2.612


  4 in total

1.  A simulation based method for assessing the statistical significance of logistic regression models after common variable selection procedures.

Authors:  Tristan R Grogan; David A Elashoff
Journal:  Commun Stat Simul Comput       Date:  2016-09-30       Impact factor: 1.162

2.  CRIS Guidelines (Checklist for Reporting In-vitro Studies): A concept note on the need for standardized guidelines for improving quality and transparency in reporting in-vitro studies in experimental dental research.

Authors:  Jogikalmat Krithikadatta; Velayutham Gopikrishna; Manjula Datta
Journal:  J Conserv Dent       Date:  2014-07

3.  Dental Research Data Availability and Quality According to the FAIR Principles.

Authors:  S E Uribe; A Sofi-Mahmudi; E Raittio; I Maldupa; B Vilne
Journal:  J Dent Res       Date:  2022-06-02       Impact factor: 8.924

4.  Prevalence and Prevention of Reproducibility Deficiencies in Life Sciences Research: Large-Scale Meta-Analyses.

Authors:  Nadine M Mansour; E Andrew Balas; Frances M Yang; Marlo M Vernon
Journal:  Med Sci Monit       Date:  2020-09-22
  4 in total

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