A quasi-likelihood approach for ordered categorical data with overdispersion
Wang, Y-G. (1996) A quasi-likelihood approach for ordered categorical data with overdispersion. Biometrics, 52(4), pp. 1252-1258.
Quasi-likelihood (QL) methods are often used to account for overdispersion in categorical data. This paper proposes a new way of constructing a QL function that stems from the conditional mean-variance relationship. Unlike traditional QL approaches to categorical data, this QL function is, in general, not a scaled version of the ordinary log-likelihood function. A simulation study is carried out to examine the performance of the proposed QL method. Fish mortality data from quantal response experiments are used for illustration.
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|Item Type:||Journal Article|
|Additional Information:||ISI Document Delivery No.: VX804
Times Cited: 7
Cited Reference Count: 16
International biometric soc
|Keywords:||categorical data, conditional likelihood, estimating equations, generalized linear models, overdispersion, quantal response, quasi-likelihood, toxicological mortality data, extra-binomial variation, linear-models, time|
|Divisions:||Current > QUT Faculties and Divisions > Science & Engineering Faculty|
|Copyright Owner:||© 1996 International Biometric Society|
|Deposited On:||24 Nov 2015 04:09|
|Last Modified:||24 Nov 2015 04:09|
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