Ross L. Prentice, Shanshan Zhao

The Statistical Analysis of Multivariate Failure Time Data (eBook, PDF)

A Marginal Modeling Approach

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 240
• Erscheinungstermin: 14. Mai 2019
• Englisch
• ISBN-13: 9781482256581
• Artikelnr.: 56786977

Autorenporträt

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.

Inhaltsangabe

Introduction to Multivariate Failure Time Data. Bivariate Survivor Function
Representation and Estimation. Regression Analysis of Bivariate Failure
Time Data. Transformation Models, Frailties and Copulas for Bivariate
Failure Time Regression. Regression Analysis of Higher Dimensional Failure
Time Data. Recurrent Events and Life History Analysis. Missing and
Mismeasured Data in Multivariate Failure Time Analysis. Other Failure Time
Data Analysis Topics.