Joint Modeling of Longitudinal and Time-to-Event Data (eBook)

Robert Elashoff, Ning Li, Gang Li (Autoren)

eBook Download: PDF

2016
261 Seiten
CRC Press (Verlag)
978-1-4398-0783-5 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 4.10.2016
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
• Themenwelt: Technik ► Umwelttechnik / Biotechnologie
• ISBN-10: 1-4398-0783-3 / 1439807833
• ISBN-13: 978-1-4398-0783-5 / 9781439807835