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자연과학대학
통계학전공
Journal papers
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Exact tests for one sample correlated binary data
Title
Exact tests for one sample correlated binary data
Authors
Kang S.-H.
;
Chung S.-J.
;
Ahn C.W.
Ewha Authors
강승호
SCOPUS Author ID
강승호
Issue Date
2005
Journal Title
Biometrical Journal
ISSN
0323-3847
Citation
Biometrical Journal vol. 47, no. 2, pp. 188 - 193
Indexed
SCIE; SCOPUS
Document Type
Article
Abstract
In this paper we developed exact tests for one sample correlated binary data whose cluster sizes are at most two. Although significant progress has been made in the development and implementation of the exact tests for uncorrelated data, exact tests for correlated data are rare. Lack of a tractable likelihood function has made it difficult to develop exact tests for correlated binary data. However, when cluster sizes of binary data are at most two, only three parameters are needed to characterize the problem. One parameter is fixed under the null hypothesis, while the other two parameters can be removed by both conditional and unconditional approaches, respectively, to construct exact tests. We compared the exact and asymptotic p-values in several cases. The proposed method is applied to real-life data. © 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
DOI
10.1002/bimj.200410098
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