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Activity Number: 213
Type: Contributed
Date/Time: Monday, August 3, 2009 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #303482
Title: Cox Regression Methodology Applied to the Analysis of Multivariate Survival Response Data
Author(s): Shulamith T. Gross*+ and Catherine Huber-Carol
Companies: Baruch College and Université Paris Descartes
Address: The City University of New York, One Bernard Baruch Way, New York, NY, 10010,
Keywords: Multivariate ; Survival ; Regression ; Cox model
Abstract:

In several recent papers Gross, S. T. and Huber-carol C. ((2007), Statistical Models and Methods for Biomedical and technical systems. Nikulin, M.S., et al Eds . (2004), Parametric and Semi - parametric Models with Applications to Reliability, Survival Analysis, and Quality of Life Series: Statistics for Industry and Technology Nikulin, M.S., et al Eds. And (2000), Lifetime Data Analysis) have investigated a flexible class of multivariate survival distributions that contains both strictly discrete and strictly continuous multivariate distributions. In this paper we present a complete regression methodology based on this family that enjoys the unique property of requiring only a standard Cox regression program for implementation. We shall present the analysis of a real, extensive data set kindly provided to us by Philippe saint Pierre of Universite Paris 6, Paris, France.

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