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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제23권 제2호
- 발행연도
- 2021.1
- 수록면
- 513 - 524 (12page)
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When the outcomes of multi-category are longitudinally observed or clustered within a subject they are correlated each other. The DMN (Dirichlet multinomial) distribution is more suitable to model these kinds of dataset rather than the multinomial distribution in overcoming the overdispersion. But until now we cannot find any available package that fits ordered DMN logits regression for ordinal outcomes. In this paper, we suggest an algorithm that can do the role of fitting ordered logits regression model for DMN ordinal outcomes. We implement the algorithm mainly focusing on the adjacent-category logits and also provide validation results through two practical data sets. The well-known in R package VGAM plays a benchmark in comparing results. A small scale simulation design has been performed to show the goodness-of-fit of DMN logits model under partial parallel constraints on regression coefficients. The proposed ordered DMN logits model appears to have a good performance.
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참고문헌 (15)
참고문헌 신청
J. R. Ashford / 1959 / An Approach to the Analysis of Data for Semi-Quantal Responses in Biological Assay / Biometrics 15(4):573~581
Fienberg, S. E. / 1980 / The Analysis of Cross-Classified Categorical Data / MIT Press
Andrew S. Fullerton / 2009 / A Conceptual Framework for Ordered Logistic Regression Models / Sociological Methods & Research 38(2):306~347
Leo A. Goodman / 1983 / The Analysis of Dependence in Cross-Classifications Having Ordered Categories, Using Log-Linear Models for Frequencies and Log-Linear Models for Odds / Biometrics 39(1):149~160
정광모 / 2015 / Goodness-of-Fit for the Clustered Binomial Models / Journal of The Korean Data Analysis Society 17(4):1725~1737
Fienberg, S. E. / 1980 / The Analysis of Cross-Classified Categorical Data / MIT Press
Andrew S. Fullerton / 2009 / A Conceptual Framework for Ordered Logistic Regression Models / Sociological Methods & Research 38(2):306~347
Leo A. Goodman / 1983 / The Analysis of Dependence in Cross-Classifications Having Ordered Categories, Using Log-Linear Models for Frequencies and Log-Linear Models for Odds / Biometrics 39(1):149~160
정광모 / 2015 / Goodness-of-Fit for the Clustered Binomial Models / Journal of The Korean Data Analysis Society 17(4):1725~1737
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