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Chapman and Hall/CRC Topics in Modelling of Clustered Data - CRC Monographs 96

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Description

Topics in Modelling of Clustered Data is a comprehensive hardcover reference from Chapman and Hall/CRC that equips researchers and practitioners with essential methods for analysing clustered data across medical, biological, environmental, and social science applications. Compiled from contributions by leading specialists, this monograph explores marginal, conditional, and random effects models using likelihood, pseudo-likelihood, and generalised estimating equations approaches. The book provides in-depth treatment of tools and techniques specifically designed to address the complexities of clustered data analysis, making it an invaluable resource for statisticians, healthcare researchers, and applied scientists working with correlated observations in real-world studies.

Key Features

Covers marginal, conditional, and random effects models for analysing clustered data across multiple scientific disciplines.

Features contributions from leading specialists in statistical modelling and applied probability.

Presents likelihood, pseudo-likelihood, and generalised estimating equations methods for practical application.

Designed for medical, biological, environmental, and social science research contexts.

Part of the CRC Monographs on Statistics and Applied Probability hardcover series.

Provides comprehensive treatment of tools and techniques for handling correlated observations in research data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 September 2019
Listed Since
05 February 2007

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