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Joint Modeling of Longitudinal and Time-to-Event Data - Chapman & Hall / CRC Monographs on Statistics and Applied Probability Robert Elashoff 1st edition
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Joint Modeling of Longitudinal and Time-to-Event Data - Chapman & Hall / CRC Monographs on Statistics and Applied Probability
Robert Elashoff
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.
261 pages, 50 black & white illustrations, 37 black & white tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | August 24, 2016 |
| ISBN13 | 9781439807828 |
| Publishers | Taylor & Francis Inc |
| Pages | 262 |
| Dimensions | 237 × 159 × 19 mm · 512 g |
| Language | English |
