Variable selection models based on multiple imputation with an application for predicting median effective dose and maximum effect
The statistical methods for variable selection and prediction could be challenging when missing covariates exist. Although multiple imputation (MI) is a universally accepted technique for solving missing data problem, how to combine the MI results for variable selection is not quite clear, because d...
| Publié dans: | Journal of statistical computation and simulation. - 1999. - 85(2015), 9 vom: 01., Seite 1902-1916 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article |
| Langue: | English |
| Publié: |
2015
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| Accès à la collection: | Journal of statistical computation and simulation |
| Sujets: | Journal Article elastic net multiple imputation penalized least squares variable selection |