The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
권호 표지
DOI QR코드

DOI QR Code

Comparison of binary data imputation methods in clinical trials

임상시험에서 이분형 결측치 처리방법의 비교연구

  • An, Koosung (Department of Biomedicine.Health Science, The Catholic University of Korea) ;
  • Kim, Dongjae (Department of Biomedicine.Health Science, The Catholic University of Korea)
  • 안구성 (가톨릭대학교 의생명.건강과학과) ;
  • 김동재 (가톨릭대학교 의생명.건강과학과)
  • Received : 2016.03.14
  • Accepted : 2016.03.31
  • Published : 2016.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

We discussed how to handle missing binary data clinical trials. Patterns of occurring missing data are discussed and introduce missing binary data imputation methods that include the modified method. A simulation is performed by modifying actual data for each method. The condition of this simulation is controlled by a response rate and a missing value rate. We list the simulation results for each method and discussed them at the end of this paper.

임상시험에서 흔히 발생하는 결측치 중 이분형 결측치에 대한 논의를 하였다. 본 논문에서는 결측치가 발생하는 기재를 논의하고 기존의 여러 이분형 결측치 대체 방법과 수정된 결측치 대체방법을 소개하였다. 이후 각 결측치 대체 방법을 실제 자료에 적용하여 모의 실험을 진행하였다. 실제 자료의 성격 및 결측률의 변화에 따른 결측치 대체 방법들의 성능비교를 통해 진행하였다. 마지막으로 각 결측치 대체 방법에 대한 모의 실험 결과를 요약하고 토의하였다.

Keywords

References

  1. Cho, Y. (2008). An imputation for nonresponses in the survey on the rural living indicators, The Korean Journal of Applied Statistics, 21, 95-107. https://doi.org/10.5351/KJAS.2008.21.1.095
  2. International Conference on Harmonisation of technical requirements for registration of pharmaceuticals for human use (1998). Statistical principles for clinical trials E9.
  3. Kang, S. (2013). Medical Statistics Needed for Drug Development, 2nd edition, Freeacademy.
  4. Kim, D. (2011). Solutions for missing values in categorical data, The Korean Association for Comparative Government, 15, 319-342.
  5. Kim, K. (2000). Imputation methods for nonresponse and their effect, The Korean Association for Survey Research, 1, 1-14.
  6. Korea Centers for Disease Control and Prevention (2012). Korea National Health and Nutrition Examination Survey V.
  7. Kwak, M. (2005). Imputation methods for clinical trials data, Journal of the Korean Data Analysis Society, 7, 1187-1198.
  8. Little, R. and Rubin, D. (2002). Statistical Analysis with Missing Data, 2nd edition, John Wiley & Sons, New York.
  9. Park, M. and Lee, J. (1995). Statistical consideration in clinical trials, Communications for Statistical Applications and Methods, 2, 229-247.
  10. Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys, John Wiley & Sons, New York.
  11. Montori, V. M. and Guyatt, G. H. (2001). Intention-to-treat principle, Canadian Medical Association Journal, 165, 1339-1341.
  12. Yun, S. (2004). Imputation of missing values, Journal of Preventive Medicine and Public Health, 37, 209-211.