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CRC Press Nonparametric Models for Longitudinal Data in R

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Description

Master the complexities of repeated measurements with Nonparametric Models for Longitudinal Data. This comprehensive resource from CRC Press provides a detailed summary of major advances in nonparametric models and smoothing methods. Designed for the modern era of big data and precision medicine, the text offers essential methods, theories, and applications for biomedical studies. Readers gain access to flexible tools to describe temporal trends, covariate effects, and correlation structures within longitudinal data sets. By including implementations in R, this book bridges the gap between theoretical statistical concepts and practical data analysis. It serves as a vital reference for graduate students in statistics, data scientists, and statisticians looking to apply advanced smoothing techniques to real-world longitudinal research.

Key Features

Covers major advances in nonparametric models and smoothing methods specifically for longitudinal data analysis.

Provides practical implementations in R to assist with data science and statistical computing tasks.

Includes specialized theories and applications useful for biomedical studies and precision medicine research.

Offers flexible tools to describe temporal trends and covariate effects in repeated measurements.

Designed as a comprehensive resource for graduate students, data scientists, and professional statisticians.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 February 2016
Listed Since
08 June 2013

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