Literature DB >> 20683893

Space-time latent component modeling of geo-referenced health data.

Andrew B Lawson1, Hae-Ryoung Song, Bo Cai, Md Monir Hossain, Kun Huang.   

Abstract

Latent structure models have been proposed in many applications. For space-time health data it is often important to be able to find the underlying trends in time, which are supported by subsets of small areas. Latent structure modeling is one such approach to this analysis. This paper presents a mixture-based approach that can be applied to component selection. The analysis of a Georgia ambulatory asthma county-level data set is presented and a simulation-based evaluation is made. Copyright (c) 2010 John Wiley & Sons, Ltd.

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Year:  2010        PMID： 20683893      PMCID： PMC2917349          DOI： 10.1002/sim.3917

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  18 in total

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