Elashoff / li / Li Joint Modeling of Longitudinal and Time-to-Event Data

Erscheinungsjahr 2016
ISBN: 978-1-4398-0783-5
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 261 Seiten

Reihe: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

Longitudinal data analysis and survival analysis are among the fastest expanding areas of statistics and biostatistics in the past thirty years. There has been a rapidly growing interest in joint models of longitudinal and survival data. This book is the first to give a comprehensive account of the recently developed, state-of-the-art statistical methodology for joint modeling. The authors provide numerous examples using real data from epidemiology, public health, and medical research. They illustrate all methods and examples via R and offer data sets and code online.

Zielgruppe

Researchers, practitioners, and graduate students in statistics, biostatistics, epidemiology, public health, medical research, biology, and the social sciences.

Autoren/Hrsg.

Elashoff, Robert

li, Gang

Li, Ning

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik Mathematik Mathematik Allgemein Diskrete Mathematik, Kombinatorik

Inhaltsverzeichnis

Introduction and Examples. Joint Models with Discrete Dropout Time. Joint Models with a Continuous Survival End Point: A Single Failure Type. Joint Models with Competing Risks for the Survival Endpoint.