This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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301
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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Abstract - #306745 |
Title:
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Distribution-Free Models for Latent Population Mixtures
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Author(s):
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Hui Zhang*+
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Companies:
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University of Rochester Medical Center
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Address:
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601 Elmwood Avenue Box 630, Rochester, NY, 14642, U.S.A.
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Keywords:
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Zero-Inflated Poisson ;
mixture ;
distribution-free ;
functional response model ;
latent ;
inverse probability weighted
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Abstract:
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Many studies involve mixtures of latent populations. With the unobservable sub-groups, it is not possible to compare intervention effects across them using existing methods. In this talk, we propose a novel approach to tackle the analytic problems. We will employ a Zero-inflated Poisson like model to help identify the two latent sub-groups and integrate this sub-model into the context of a primary model of interest to enable estimation of parameters of interest. We develop this proposed system of models by utilizing a new class of functional response models(FRM). To provide inference for longitudinal data analysis, we integrate the inverse probability weighted estimate within the context of FRM and develop distribution-free inference about the parameters of the system. The proposed distribution-free approach seems to offer the only sensible solution to this type of modeling problem.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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