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Mixed effects models for complex data

By: Material type: TextTextSeries: Monograph on statistics and applied probability 113Publication details: 2010 CRC Press Boca RatonDescription: xx, 419 pISBN:
  • 9781420074024
Subject(s): DDC classification:
  • 519.54 W8M4
Summary: 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. (http://www.crcpress.com/product/isbn/9781420074024)
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Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 33-A / Slot 1675 (2nd Floor, East Wing) General Stacks 519.54 W8M4 (Browse shelf(Opens below)) Available 174491

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. (http://www.crcpress.com/product/isbn/9781420074024)

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