Joint Modeling of Longitudinal and Time-to-Event Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Softcover

Elashoff, Robert

Softcover

ISBN 10: 0367570572 ISBN 13: 9780367570576

Publisher: Routledge, 2020

Synopsis

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.

About this title

About the Author

Robert Elashoff, Gang Li, Ning Li

Edition details

• Publisher: Routledge
• Publication date: 2020
• Language: English
• ISBN 10: 0367570572
• ISBN 13: 9780367570576
• Binding: Paperback
• Edition number: 1
• Number of pages: 262