Joint Modeling of Longitudinal and Time-to-Event Data Hardback
Part of the Chapman & Hall/CRC Monographs on Statistics & Applied Probability series
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.
- Format: Hardback
- Pages: 241 pages, 37 Tables, black and white; 50 Illustrations, black and white
- Publisher: Taylor & Francis Ltd
- Publication Date: 29/07/2016
- Category: Probability & statistics
- ISBN: 9781439807828
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