[DOWNLOAD] "Joint Modeling of Longitudinal and Time-to-Event Data" by Robert Elashoff, Gang Li & Ning Li ~ Book PDF Kindle ePub Free
eBook details
- Title: Joint Modeling of Longitudinal and Time-to-Event Data
- Author : Robert Elashoff, Gang Li & Ning Li
- Release Date : January 04, 2016
- Genre: Mathematics,Books,Science & Nature,Professional & Technical,Medical,
- Pages : * pages
- Size : 11261 KB
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.