Mixed Effects Models for Complex Data (Monographs on Statistics and Applied Probability, 113) - Tapa dura

Wu, Lang

 
9781420074024: Mixed Effects Models for Complex Data (Monographs on Statistics and Applied Probability, 113)

Sinopsis

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 regression model for cross-sectional data and discusses computational strategies for likelihood estimations of mixed effects models. The author briefly describes generalized estimating equations methods and Bayesian mixed effects models and explains how to implement standard models using R and S-Plus. The real-world data examples used throughout encompass studies on mental distress, AIDS, and more.

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Acerca del autor

Lang Wu is an associate professor in the Department of Statistics at the University of British Columbia in Vancouver, Canada.

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Otras ediciones populares con el mismo título

9780367384913: Mixed Effects Models for Complex Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probab)

Edición Destacada

ISBN 10:  0367384914 ISBN 13:  9780367384913
Editorial: Chapman and Hall/CRC, 2019
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