Regularized approach for data missing not at random.
It is common in longitudinal studies that missing data occur due to subjects' no response, missed visits, dropout, death or other reasons during the course of study. To perform valid analysis in this setting, data missing not at random (MNAR) have to be considered. However, models for data MNAR ofte...
| Publicado en: | Statistical Methods in Medical Research Vol. 28; no. 1; pp. 134 - 151 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jan2019
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| Acceso en línea: | Ver este registro en EBSCOhost |