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Mixed Effects Models for Complex Data

By Lang Wu

Mixed Effects Models for Complex Data Mathematics

Mixed Effects Models for Complex Data

By Lang Wu

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
440
Release Date:
2019-09-27
Publication Date:
2019-09-05
Publisher:
Chapman and Hall/CRC
Languages:
Original: English
ISBN10:
0367384914
ISBN13:
9780367384913
GPSR Manufacturer Reference:
[email protected]
Weight:
633 g
Height:
152 cm
Width:
229 cm
Thickness:
24 cm
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