Comparative Study on Model Selection Criteria in Gee

Name: Comparative Study on Model Selection Criteria in Gee
Brand: VDM Verlag
SKU: 9783639207187
Price: 303.95 RON
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Autor: Anower Hossain

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Model (or variable) selection is an essential part of any statistical analysis. Since a GEE model do...

Informații despre carte

Autor

Anower Hossain

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2009

Pagini

156

EAN

9783639207187

ISBN

3639207181

Enbook ID

06828683

Editura

VDM Verlag

Greutate

236

Dimensiuni

152 x 229 x 9

Descriere completă

Model (or variable) selection is an essential part of any statistical analysis. Since a GEE model does not specify a likelihood structure, traditional model selection criteria are not well defined in the GEE approach. In last decade, modified Akaike s Information Criterion (mAIC), modified Bayesian Information Criterion (mBIC), and extended Mallow s Cp are suggested for GEE.Our main goal is to compare the above mentioned model selection criteria of GEE to find the suitable one. For this we conduct an extensive Monte Carlo simulation study to examine the relative performance of these criteria to select the best underlying model. Finally, considering the simulation study results, we apply GCp criterion to maternal morbidity data to select best underlying model and find that model for major pregnancy complications with covariates-education of the respondent, gainful employment, whether wanted the index pregnancy and food supplement appears to be the best choice among all possible models.

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Comparative Study on Model Selection Criteria in Gee

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