Model Selection Using Modified Akaike’s Information Criterion: An Application to Maternal Morbidity Data
Keyword(s):
The most commonly used model selection criterion, Akaike’s Information Criterion (AIC), cannot be used when the Generalized Estimating Equations (GEE) approach is considered for analyzing multivariate binary response. Recently, a modified version of AIC (mAIC) which is based on quasi-likelihood function is proposed as a model selection criterion. This model selection criterion can be used in the GEE setup. In this study, an application of mAIC is showed in selecting important covariates associated with pregnancy related complications of Bangladeshi women.
2010 ◽
Vol 74
(6)
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pp. 1175-1178
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2005 ◽
Vol 71
(5)
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pp. 978-986
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2012 ◽
Vol 2012
(0)
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pp. _G010015-1-_G010015-4
2019 ◽
Vol 1321
◽
pp. 022085
2010 ◽
Vol 74
(6)
◽
pp. 1175-1178
◽