Statistical methods used in articles published by the journal of periodontal and implant science

Eunsil Choi, Jiyoung Lyu, Jinyoung Park, Hae-Young Kim

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3 Citations (Scopus)

Abstract

Purpose: The purposes of this study were to assess the trend of use of statistical methods including parametric and nonparametric methods and to evaluate the use of complex statistical methodology in recent periodontal studies. Methods: This study analyzed 123 articles published in the Journal of Periodontal & Implant Science (JPIS) between 2010 and 2014. Frequencies and percentages were calculated according to the number of statistical methods used, the type of statistical method applied, and the type of statistical software used. Results: Most of the published articles considered (64.4%) used statistical methods. Since 2011, the percentage of JPIS articles using statistics has increased. On the basis of multiple counting, we found that the percentage of studies in JPIS using parametric methods was 61.1%. Further, complex statistical methods were applied in only 6 of the published studies (5.0%), and nonparametric statistical methods were applied in 77 of the published studies (38.9% of a total of 198 studies considered). Conclusions: We found an increasing trend towards the application of statistical methods and nonparametric methods in recent periodontal studies and thus, concluded that increased use of complex statistical methodology might be preferred by the researchers in the fields of study covered by JPIS.

Original languageEnglish
Pages (from-to)288-292
Number of pages5
JournalJournal of Periodontal and Implant Science
Volume44
Issue number6
DOIs
Publication statusPublished - 2014 Jan 1

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ASJC Scopus subject areas

  • Oral Surgery
  • Periodontics

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Statistical methods used in articles published by the journal of periodontal and implant science. / Choi, Eunsil; Lyu, Jiyoung; Park, Jinyoung; Kim, Hae-Young.

In: Journal of Periodontal and Implant Science, Vol. 44, No. 6, 01.01.2014, p. 288-292.

Research output: Contribution to journalArticle

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