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Joint Modeling of Longitudinal and Time-To-Event Data
Paperback
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Prob
Medical ReferenceGeneral MathematicsProbability & Statistics
ISBN13: 9780367570576
Publisher: CRC Press
Published: Jun 30 2020
Pages: 241
Weight: 0.92
Height: 0.90 Width: 6.10 Depth: 9.10
Language: English
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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