The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach

Prentice, Ross L./ Zhao, Shanshan/ Wainwright, Leon (Editor)

ISBN 10: 1482256576 / ISBN 13: 9781482256574

Verlag: Chapman & Hall, 2019

Beschreibung

224 pages. 9.25x6.25x0.75 inches. In Stock.

Bestandsnummer des Verkäufers x-1482256576

Bibliografische Details

• Titel: The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach
• Verlag: Chapman & Hall
• Erscheinungsjahr: 2019
• Sprache: Englisch
• ISBN-10: 1482256576
• ISBN-13: 9781482256574
• Einband: Hardcover
• Zustand: Brand New
• Gewicht: 0,5 Kilogramm

Über diesen Titel

Inhaltsangabe

Though much has been written on multivariate failure time data analysis methods, a unified approach to this topic has yet to be communicated. This book aims to fill that gap through a novel focus on marginal hazard rates and cross ratio modeling. Readers will find the content useful for instruction, for application in collaborative research and as a source of novel research concepts. Many of the illustrations are from population disease studies which should interest epidemiologists and population scientists.

Über die Autorin bzw. den Autor

Ross L. Prentice is Professor of Biostatistics at the Fred Hutchinson Cancer Research Center and University of Washington in Seattle, Washington. He is the recipient of COPSS Presidents and Fisher awards, the AACR Epidemiology/Prevention and Team Science awards, and is a member of the National Academy of Medicine.

Shanshan Zhao is a Principal Investigator at the National Institute of Environmental Health Sciences in Research Triangle Park, North Carolina.