대한치과의사협회지 (The Journal of the Korean dental association)

  • 제54권11호
  • /
  • Pages.880-896
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  • 2016
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  • 0376-4672(pISSN)
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  • 2713-7961(eISSN)
대한치과의사협회 (The Korean Dental Association)
권호 표지

치의학 연구에서 반복 계측한 자료의 일치도 평가방법

Statistical methods for accessing agreement between repeated measurements in dental research

  • 김기열 (연세대학교 치과대학 BK21 플러스 통합구강생명과학 사업단, 치의학 교육개발실)
  • Kim, Ki-Yeol (BK21 PLUS Project, Institute for Dental Education, Yonsei University College of Dentistry)
  • 투고 : 2016.09.07
  • 심사 : 2016.09.26
  • 발행 : 2016.11.01
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초록

The comparison of the repeated measurements is often needed to see whether they agree sufficiently, when a measurement is repeated under identical conditions by different raters. Such investigations are often analyzed inappropriately, by using correlation coefficient. The purpose of this study is to introduce statistical methods for accessing the agreement of the repeated measurements, which include Bland-Altman plot, intra class correlation, Passing-Bablok regression and Cohen's kappa coefficient, and to show how to execute them using examples.

키워드

과제정보

연구 과제 주관 기관 : 연세대학교 치과대학

참고문헌

  1. Bland JM AD. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1(8476): 307-10.
  2. Passing H, Bablok. A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry, Part I. Journal of clinical chemistry and clinical biochemistry Zeitschrift fur klinische Chemie und klinische Biochemie 1983; 21(11): 709-20.
  3. Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 1960; 20(1): 37-46. https://doi.org/10.1177/001316446002000104
  4. Fleiss JL, Gurland BJ, Cooper JE. Some contributions to the measurement of psychopathology. The British journal of psychiatry : the journal of mental science 1971; 119(553): 647-56. https://doi.org/10.1192/bjp.119.553.647
  5. Bartko JJ. The intraclass correlation coefficient as a measure of reliability. Psychological reports 1966; 19(1): 3-11. https://doi.org/10.2466/pr0.1966.19.1.3
  6. Cicchetti DV, Nelson LD. Re-examining threats to the reliability and validity of putative brain-behavior relationships: new guidelines for assessing the effect of patients lost to follow-up. Journal of clinical and experimental neuropsychology 1994; 16(3):339-43. https://doi.org/10.1080/01688639408402644
  7. Bilic-Zulle L. Comparison of methods: Passing and Bablok regression. Biochemia medica 2011; 21(1):49-52.
  8. Chang Un Park HJK. Measurement of Inter-Rater Reliability in Systematic Review. Hanyang Med Rev 2015; 35: 44-9. https://doi.org/10.7599/hmr.2015.35.1.44
  9. Altman DG. Practical statistics for medical research. New York, NY: Chapman & Hall/CRC Press; 1999.
  10. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33(1): 159-74. https://doi.org/10.2307/2529310
  11. Shintani A. Primer of statistics in dental research: Part II. Journal of prosthodontic research 2014;58(2): 85-91. https://doi.org/10.1016/j.jpor.2014.03.003
  12. Pocock S. Clinical Trials: A Practical Approach. Chichester, UK: John Wiley and Sons; 1983.