Joint Modeling of Longitudinal and Time-To-Event Data Contributor(s): Elashoff, Robert (Author), Li, Gang (Author), Li, Ning (Author) |
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ISBN: 0367570572 ISBN-13: 9780367570576 Publisher: CRC Press OUR PRICE: $60.79 Product Type: Paperback - Other Formats Published: June 2020 |
Additional Information |
BISAC Categories: - Mathematics | Finite Mathematics - Mathematics | Probability & Statistics - Multivariate Analysis - Medical | Biostatistics |
Dewey: 519.535 |
Physical Information: 0.9" H x 6.1" W x 9.1" (0.92 lbs) 241 pages |
Descriptions, Reviews, Etc. |
Publisher 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. |