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International Conference on Statistics, Combinatorics and Related Areas
October 3-5, 2003
University of Southern Maine
Portland, ME, USA

Organizers
Dr. Sat Gupta (University of Southern Maine), Dr. Satya Mishra (University of South Alabama), Dr. Bhu Dev Sharma (Clark Atlanta University)

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Spatial Cox models: a Poisson modelling approach.
by
Renjun Ma
Department of Mathematics and Statistics, University of New Brunswick, Fredericton, Canada E3B 5A3

We propose a Poisson modelling approach to Cox proportional hazards models with spatially correlated random effects. An important feature of this approach is that the principal results depend only on the first and second moments of the unobserved random effects. The orthodox best linear unbiased predictor approach to random effects Poisson modelling techniques enables us to justify appropriate consistency and optimality. The explicit expressions for the random effects given by our approach facilitate incorporation of relatively a large number of random effects.

Date received: September 9, 2003

Copyright © 2003 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Mathematical Conference Abstracts. Document # came-50.