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Mixed Effects Models for Complex Data by Lang Wu



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Mixed Effects Models for Complex Data by Lang Wu
2009 | ISBN: 1420074024, 1420074024 | 431 pages | PDF | 3,6 MB

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for Complex Data discusses commonly used mixed effects models and presents appropriate approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews the corresponding class of regression model for cross-sectional data.

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