대한한방부인과학회지 (The Journal of Korean Obstetrics and Gynecology)

  • 제25권1호
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  • Pages.70-78
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  • 2012
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  • 1229-4292(pISSN)
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  • 2508-3619(eISSN)
대한한방부인과학회 (The Society of Korean Medicine Obstetrics and Gynecology)
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대한한방부인과학회지에서 사용된 통계방법에 관한 연구

A Review of Statistical Methods in the Journal of Oriental Obstetrics & Gynecology

  • 김윤상 (가천대학교 한의과대학 한방부인과학교실) ;
  • 오현숙 (가천대학교 경상대학 응용통계학교실) ;
  • 임은미 (가천대학교 한의과대학 한방부인과학교실)
  • Kim, Yoon-Sang (Dept. of Gynecology, College of Oriental Medicine, Ga-Chon University) ;
  • Oh, Hyun-Sook (Dept. of Applied Statistics, College of Business & Economics, Ga-Chon University) ;
  • Lim, Eun-Mee (Dept. of Gynecology, College of Oriental Medicine, Ga-Chon University)
  • 투고 : 2012.02.01
  • 심사 : 2012.02.07
  • 발행 : 2012.02.24
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초록

Objectives: The purpose of this article is not until to investigate the changes and types of statistical methods and to point out the statistical errors after analyzing the method of articles that improve the quality of the statistical analysis of papers published in the Journal of Oriental Obstetrics and Gynecology. Methods: Papers published in the Journal of Oriental Obstetrics and Gynecology from 2009 to 2011 were reviewed for methodological and statistical validity using a modified version of Ahn's checklist. A statistician reviewed individual papers and evaluated the list items in the checklist for each paper. To avoid the potential assessment error by the statistician who lacks expertise in the field of Oriental Obstetrics and Gynecology. Results: A total of 190 papers including 64 original articles, 40 reviews article, 58 case report and 28 brief communication were reviewed. Statistics methods used in 121 papers were composed of t-test(58.7%), ANOVA test(19.8%) and ${\chi}^2$- test (14.0%) et al. Whereas only 14.9% of papers were free of statistical errors, the number of omission errors was 58 and the number of commission errors was 149 each. Conclusions: A variety of statistical errors were encountered in papers published in the Journal of Oriental Obstetrics and Gynecology. Accordingly, researchers should be more careful when it comes to describing and applying statistical methods.

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