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CRC Press Mixed Effects Models for Complex Data - CRC Press

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Description

Mixed Effects Models for Complex Data by CRC Press provides comprehensive coverage of mixed effects modelling approaches for handling complex and incomplete datasets. This Chapman & Hall/CRC monograph addresses practical challenges including dropouts, missing data, measurement errors, censoring, and outliers that researchers frequently encounter. The book reviews standard mixed effects models alongside corresponding cross-sectional regression approaches, offering both theoretical foundation and real-world examples to guide implementation. Suitable for statisticians, healthcare practitioners, and applied researchers working with complicated data structures, this used book in good condition delivers essential methods for modern statistical analysis and data interpretation.

Key Features

Mixed Effects Models for Complex Data covers dropout handling and missing data strategies essential for incomplete datasets.

The CRC Press monograph presents measurement error correction techniques and censoring methods for robust analysis.

Chapman & Hall/CRC textbook includes real motivating examples demonstrating practical application across health and medical research.

This used book in good condition provides regression model frameworks for both cross-sectional and longitudinal data.

The monograph addresses outlier detection and management within mixed effects modelling frameworks for data quality.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 November 2009
Listed Since
04 April 2008

Barcode

No barcode data available

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