Joint Modeling of Longitudinal and Time-to-Event Data
Robert Elashoff, Gang li, Ning Li
- 出版商: Chapman and Hall/CRC
- 出版日期: 2016-08-24
- 售價: $2,712
- 貴賓價: 9.5 折 $2,576
- 語言: 英文
- 頁數: 261
- 裝訂: Hardcover
- ISBN: 1439807825
- ISBN-13: 9781439807828
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.