eBook - ePub

Nonparametric Models for Longitudinal Data

Name: Nonparametric Models for Longitudinal Data
ISBN: 9780429939075

With Implementation in R

Colin O. Wu,

Xin Tian,

552 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Nonparametric Models for Longitudinal Data

With Implementation in R

Colin O. Wu,

Xin Tian,

About this book

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, covariate effects and correlation structures of repeated measurements in longitudinal data.

This book is intended for graduate students in statistics, data scientists and statisticians in biomedical sciences and public health. As experts in this area, the authors present extensive materials that are balanced between theoretical and practical topics. The statistical applications in real-life examples lead into meaningful interpretations and inferences.

Features:

• Provides an overview of parametric and semiparametric methods
• Shows smoothing methods for unstructured nonparametric models
• Covers structured nonparametric models with time-varying coefficients
• Discusses nonparametric shared-parameter and mixed-effects models
• Presents nonparametric models for conditional distributions and functionals
• Illustrates implementations using R software packages
• Includes datasets and code in the authors' website
• Contains asymptotic results and theoretical derivations

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Yes, you can access Nonparametric Models for Longitudinal Data by Colin O. Wu,Xin Tian in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.