Permutation-based variance component test in generalized linear mixed model with application to multilocus genetic association study
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Title
Permutation-based variance component test in generalized linear mixed model with application to multilocus genetic association study
Authors
Keywords
Likelihood ratio test, Permutation procedure, Variance component, Multilocus association analysis, Working response, Penalized quasi-likelihood algorithm, Generalized linear mixed model, Logistic mixed effects model
Journal
BMC Medical Research Methodology
Volume 15, Issue 1, Pages -
Publisher
Springer Nature
Online
2015-04-21
DOI
10.1186/s12874-015-0030-1
References
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- (2014) Seunggeung Lee et al. AMERICAN JOURNAL OF HUMAN GENETICS
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- (2014) Ping Zeng et al. ANNALS OF HUMAN GENETICS
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- (2012) R. Drikvandi et al. BIOSTATISTICS
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- (2012) Monjed H. Samuh et al. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
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