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CRC Press Mixed Effects Models for Complex Data - Book

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Description

Mixed Effects Models for Complex Data by CRC Press provides an essential resource for researchers working with complicated or incomplete datasets. While standard mixed effects models are helpful in many studies, this text explores the necessary approaches required when data presents specific challenges. It covers how to address common issues such as dropouts, missing data, measurement errors, censoring, and outliers. For every class of mixed effects model discussed, the author reviews the related regression model for cross-sectional data. The book offers an overview of general methods supported by motivating examples and real data applications. This monograph is designed to help professionals navigate the complexities of statistical modeling in various research environments.

Key Features

Addresses complex data challenges including dropouts, missing data, and measurement errors.

Provides specific approaches to handle censoring and outliers in statistical modeling.

Includes reviews of corresponding regression models for cross-sectional data classes.

Offers an overview of general models and methods to assist with research applications.

Uses motivating examples and real data to illustrate statistical concepts.

Used book in good condition for practical academic or professional use.

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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