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(Ebook) Joint modeling of longitudinal and time-to-event data by Elashoff, Robert M.; Li, Gang; Li, Ning ISBN 9781439807828, 1439807825

  • SKU: EBN-5744050
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Authors:Elashoff, Robert M.; Li, Gang; Li, Ning
Pages:241 pages.
Year:2017
Editon:1
Publisher:CRC Press;Chapman and Hall/CRC
Language:english
File Size:4.05 MB
Format:pdf
ISBNS:9781439807828, 1439807825
Categories: Ebooks

Product desciption

(Ebook) Joint modeling of longitudinal and time-to-event data by Elashoff, Robert M.; Li, Gang; Li, Ning ISBN 9781439807828, 1439807825

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.

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