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Mixed Effects Models for Complex Data
Presenting effective approaches to address missing data, measurement errors, censoring, and outliers in longitudinal data, this book covers linear, nonlinear, generalized linear, nonparametric, and semiparametric mixed effects models. It links each mixed effects model with the corresponding class of...
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| Lenguaje: | eng |
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Chapman & Hall/CRC
2009
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| Acceso en línea: | http://cds.cern.ch/record/1315838 |