Kniha Comparative Study on Model Selection Criteria in Gee Anower Hossain

Comparative Study on Model Selection Criteria in Gee

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: VDM Verlag
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 407
Model (or variable) selection is an essential part of any statistical analysis. Since a GEE model do...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2009
Stránek
156
EAN
9783639207187
ISBN
3639207181
Enbook ID
06828683
Vydavatel
Hmotnost
236
Rozměry
152 x 229 x 9

Kompletní popis

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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