Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
권호 표지

A mixed-effects model for overdispersed binomial data

초과변동의 이항자료에 대한 혼합효과 모형

  • Published : 1999.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper discusses the generalized mixed-effects model for the analysis of overdispersed binomial data. Sometimes certain types of sampling designs or genetic characters of experimental units can be regarded as factors of extra binomial variation. For such cases, this paper suggests models with one or two random effects to explain overdispersion caused by those affecting factors and shows how to test for a model adequacy based on deviance.

본 논문은 초과변동을 갖는 이항자료의 효과적인 분석을 위하여 자료수집 과정에서 반응에 영향을 미치는 요인들을 고려한 혼합효과 모형을 제시하고 이 탈도(deviance)를 이용하여 그 타당성을 논의하고 있다.

Keywords

References

  1. Mokelling binary data Chapman and Hall Collect, D.
  2. Analysis of binary data (2nd edition) Chapman and Hall Cox, D. R.;Snell, E. J.
  3. Journal of the American Statistical Association v.84 Generalizing logistic regression by nonparametric mixing Follman, D, A.;Lambert, D.
  4. Bipmetrics v.35 Analysis of dichotomous respones data from certain toxicological experiments Haseman, J. K.;Kupper, L. L.
  5. Generalized llinear model (2nd edition) Chapman and Hall McCullagh, P.;Nelder, J. A.
  6. Computer Journal v.7 A simplx method for function minimixation Nelder, J. A.;Mead, R.
  7. Applied Statestics v.31 Extra-binomial variation in logistic linear models Williams, D. A.