This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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390
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #307853 |
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Title:
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Nonparametric Mixture Regression for Survival Data
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Author(s):
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Matthew Taddy*+
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Companies:
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Chicago Booth
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Address:
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, , ,
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Keywords:
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survival analysis ;
dirichlet process ;
mixture model ;
regression
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Abstract:
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We seek to develop a uni?ed fully nonparametric framework (uni?ed in that all functionals of interest are available through a single inferential process for response densities) for multivariate survival data in the presence of a regression component. We obtain inference for survival and hazard functions based on the conditional distribution for survival responses given covariates implied by a joint distribution mixture model. In addition, we present a general framework for applying our mixture models in treatment-control settings through use of two correlated random mixing distributions.
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Authors who are presenting talks have a * after their name.
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