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Bayesian Penalized Spline Models for the Analysis of Spatio-Temporal Count Data

In recent years, the availability of infectious disease counts in time and space has increased, and consequently there has been renewed interest in model formulation for such data. In this paper, we describe a model that was motivated by the need to analyze hand, foot and mouth disease (HFMD) survei...

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Dettagli Bibliografici
Pubblicato in:Stat Med
Autori principali: Bauer, Cici, Wakefield, Jon, Rue, Håvard, Self, Steve, Feng, Zijian, Wang, Yu
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2015
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4959802/
https://ncbi.nlm.nih.gov/pubmed/26530705
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6785
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