Joint Modeling of Longitudinal and Time-to-Event Data

Name: Joint Modeling of Longitudinal and Time-to-Event Data
SKU: 24943658
Price: 273.99 AUD
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Hardback

Series:

Chapman & Hall/CRC Monographs on Statistics & Applied Probability

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Description

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website. This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics.

Author Biography:

Robert Elashoff, Gang Li, Ning Li

Release date Australia

August 24th, 2016

Author

Audiences

Professional & Vocational
Tertiary Education (US: College)

Illustrations

37 Tables, black and white; 50 Illustrations, black and white

Pages

262

Series

Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Dimensions

156x235x18

ISBN-13

9781439807828

Product ID

24943658

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