Joint Modeling of Longitudinal and Time-to-Event Data, Hardback Book

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.

Information

  • Format: Hardback
  • Pages: 241 pages, 37 Tables, black and white; 50 Illustrations, black and white
  • Publisher: Taylor & Francis Ltd
  • Publication Date:
  • Category: Probability & statistics
  • ISBN: 9781439807828

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