The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
권호 표지

Using a Normal Test Variable(NTV) for clinical research

임상 자료 분석을 위한 NORMAL TEST VARIABLE(NTV)의 고찰

  • 이제영 ((712-749) 경상북도 경산시 대동 214-1, 영남대학교 통계학과) ;
  • 우정수 ((712-749) 경상북도 경산시 대동 214-1, 영남대학교 통계학과) ;
  • 최달우 ((702-701) 대구시 북구 산격동 1370, 경북대학교 통계학과)
  • Published : 1998.03.01
Download PDF
⟨ Previous Next ⟩

Abstract

This article examines the use and some difficulties of Normal Test Variables(NTV) plot for clinical research. Monte Carlo Simulation results are presented based on Normal, Bimodal, Uniform, Exponential and skewed-right distributed Beta Distributions. Further, some solutions are presented and illustrated.

임상자료의 정규성 검정에 있어서 NTV(Normal Test Variable)에 관한 몇가지 문제점을 여러 가지 특정분포 즉, 정규분포, 두 정규분포의 혼합분포, 균일분포, 지수분포 그리고 오른쪽을 치우친 베타분포에 관한 몬테칼로 모의실험 결과를 통하여 고찰하고 그 해결방안을 모색한다.

Keywords

References

  1. Practical statistics for medical research Alterman, D.G.
  2. Clin. Pharmacol. Ther. v.43 The oxidative metabolism of sparteine in the Cuna Amerindians of Panama: Absence of evidence for deficient metabolizer Arias, T. D.;Jorge, L. F.;Lee, D.;Barrantes, R.;Inaba, T.
  3. Biometrika v.61 Comparison of tests for normality with a cautionary note Dyer, A.R.
  4. Eur. J. Clin. Pharmacol. v.28 Interethnic difference in sparteine oxidation among Ghanaians and Germans Eichelbaum, M.;Woolhouse, N. M.
  5. Br. J. Clin. pharmacol. v.32 A new, sensitive graphical method for detecting deviations from the normal distribution of drug response: the NTV plot Endrenyi, L.;Patel. M.
  6. Trends. Pharmacol. Sci. v.12 Evaluation of two assumptions:single straight line, and single normal distribution Endrenyi, L.;Patel, M.
  7. Journal of Quality Technology v.28 Usinga correlation test for normality Fang, J.;Case, K. E.
  8. Handbook of statics v.1 Graphical methods for internal comparisons in ANOVA and MANOVA Gnanadesikan, R.;P.R. Krishnaiah(ed.)
  9. J. of Am. Stat. Assoc. v.90 The P-P plot as a method for comparing treatment effects Holmgren, E. B.
  10. Br. J. Clin. Pharmacol. v.28 Testing for bimodality in frequency distributions of data suggesting polymorphisms of drug metabolism - histograms and probit plots Jackson, P.R.;Tucker, G.T.;Woods, H.F.
  11. Br. J. Clin. Pharmacol. v.28 Testing for bimodality in frequency distributions of data suggesting polymorphisms of drug metabolism -hypothesis testing Jackson, P.R.;Tucker, G.T.;Woods, H.F.
  12. Applied multivariate statistical analysis(3rd ed.) Johnson, R. A.;Wichern, D. W.
  13. Technometrics v.19 Goodness-of-fit tests based on nonlinearity in probability plots LaBrecque, J.
  14. 한국통계학회논문집 v.4 no.1 특정분포에 따른 확률 Plot들의 정규성과 Bimodality 비교 Lee, J.;Rhee, S.
  15. Am. Stat. v.36 An objective graphical method for testing normal distributional assumptions using probability plots Mage, D. T.
  16. Clin. Pharmacol. Ther. v.38 Interethnic differences in genetic polymorphism of debrisoquin and mephenytoin hydroxylation between Japanese and Caucasian populations Nakamura, K.;Goto, F.;Ray, W. A.;McAllister, C. B.;Jacqz, E.;Wilkinson, G. R.;Branch, R. A.
  17. Applied linear statistical Models (3rd ed.) Neter, J.;Wasserman, W.;Kunter, M.
  18. Biometrika v.52 An analysis-of-variance test for normality (complete sample) Shapiro, S.S.;Wilk, M.B.
  19. J. Am. Stat. Assoc. v.67 An approximation analysis of variance test for normality Shapiro, S.S.;Francia, R.S.
  20. Biometrika v.55 Probability plotting methods for the analysis of data Wilk, M. B.;Gnanadesikan, R.