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Comparing More than Two Agreement Measures Using Marginal Association
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 Title & Authors
Comparing More than Two Agreement Measures Using Marginal Association
Oh, Myong-Sik;
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 Abstract
Oh (2009) has proposed a likelihood ratio test for comparing two agreements for dependent observations based on the concept of marginal homogeneity and marginal stochastic ordering. In this paper we consider the comparison of more than two agreement measures. Simple ordering and simple tree ordering among agreement measures are investigated. Some test procedures, including likelihood ratio test, are discussed.
 Keywords
Agreement;chi-bar-square;marginal homogeneity;simple order;simple tree order;stochastic ordering;
 Language
English
 Cited by
 References
1.
Dardanoni, V. and Forcina, A. (1998). A unified approach to likelihood inference on stochastic orderings in a nonparametric context, Journal of the American Statistical Association, 93, 1112–1123

2.
Donner, A., Shoukri, M., Klar, N. and Bartfay, E. (2000). Testing the equality of two dependent kappa statistics, Statistics in Medicine, 19, 373–387

3.
El Barmi, H. and Dykstra, R. (1995). Testing for and against a set of linear inequality constraints in a multinomial setting, The Canadian journal of Statistics, 23, 131–143 crossref(new window)

4.
El Barmi, H. and Johnson, M. (2006). A unified approach to testing for and against a set of linear inequality constraints in the product multinomial setting, Journal of Multivariate Analysis, 97, 1894–1912 crossref(new window)

5.
El Barmi, H. and Mukerjee, H. (2005). Inferences under a stochastic ordering constraint: The Ksample case, Journal of the American Statistical Association, 100, 252–261

6.
Feng, Y. and Wang, J. (2007). Likelihood ratio test against simple stochastic ordering among several multinomial populations, Journal of Statistical Planning and Inference, 137, 1362–1374 crossref(new window)

7.
Fleiss, J. L. and Cohen, J (1973). The equivalence of weighted kappa and the intraclass correlation coeffcient as measures of reliability, Educational and Psychological Measurement, 33, 613–619 crossref(new window)

8.
Gilula, Z. and Haberman, S. J. (1995). Dispersion of categorical variables and penalty functions;derivation, estimation and comparability, Journal of the American Statistical Association, 90, 1447–1452

9.
Jordan, J. L. (1999). A test of marginal homogeneity versus stochastic ordering in contingency tables, Ph. D. Thesis, The University of Iowa

10.
McKenzie, D. P., MacKinnon, A. J., P´eladeau, N., Onghena, P., Bruce, P. C., Clarke, D. M., Harrigan, S. and McGorry, P. D. (1996). Comparing correlated kappas by resampling: Is one level of agreement significantly different from another?, Journal of Psychiatric Research, 30, 483–492 crossref(new window)

11.
Oh, M. (2008). Comparison of two dependent agreements using test of marginal homogeneity, Communications of the Korean Statistical Society, 15, 605–614

12.
Oh, M. (2009). Inference on measurements of agreement using marginal association, Journal of the Korean Statistical Society, 38, 41–46 crossref(new window)

13.
Robertson, T. and Wright, F. T. (1981). Likelihood ratio tests for and against a stochastic ordering between multinomial populations, The Annals of Statistics, 9, 1248–1257

14.
Robertson, T., Wright, F. T. and Dykstra, R. L. (1988). Order Restricted Statistical Inference, Wiley, Chichester

15.
Sposito, V. A. (1975). Linear and Nonlinear Programming, Iowa State University Press, Ames

16.
Wang, Y. (1996). A likelihood ratio test against stochastic ordering in several populations, Journal of the American Statistical Association, 91, 1676–1683