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

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Description

Master the complexities of statistical analysis with Topics in Modelling of Clustered Data: 96. This specialized volume from the CRC Monographs on Statistics & Applied Probability series provides an essential resource for researchers and practitioners working with clustered data sets. As data in medical, biological, environmental, and social science studies often involves clusters, choosing the right analytical method is vital. This book brings together contributions from leading specialists to explain the various tools and techniques available. It offers a comprehensive look at marginal, conditional, and random effects models. Readers will gain a deep understanding of different methodologies, including likelihood, pseudo-likelihood, and generalized estimating equations. By exploring the advantages and limitations of various approaches, this text helps you select the most effective modeling strategies for your specific research applications. Whether you are working in public health or environmental science, this monograph serves as a high-level guide to modern statistical modeling.

Key Features

Comprehensive coverage of marginal, conditional, and random effects models for advanced statistical research.

Expert insights from leading specialists to help navigate different modeling advantages and limitations.

Practical application methods including likelihood, pseudo-likelihood, and generalized estimating equations.

Designed for diverse scientific fields such as medical, biological, environmental, and social sciences.

Part of the respected CRC Monographs on Statistics & Applied Probability series for academic rigor.

Product Specifications

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

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