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Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: changes (%) in relative risks with 95% credible intervals from Bayesian spatiotemporal CAR models of cryptosporidiosis in Queensland, Australia

Queensland University of Technology
Adjunct Associate Professor Sama Low Choy (Aggregated by) Distinguished Professor Kerrie Mengersen (Aggregated by) Professor Wenbiao Hu (Aggregated by)
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CC-BY

Creative Commons Attribution 3.0
http://creativecommons.org/licenses/by/3.0/au/

© 2011 Hu et al.

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Contact Information

Postal Address:
Dr Wenbiao Hu

w2.hu@qut.edu.au

Full description

This dataset was gathered to predict the spatial distribution of the cryptosporidiosis infection using selected social-ecological factors and climate variables. Predictions were completed using a Bayesian CART (Classification and Regression Tree) model.

The dataset presents the changes (%) in relative risks with 95% credible intervals from Bayesian spatio-temporal CAR models of cryptosporidiosis in Queensland, Australia.

Data time period: 2001 to 2011

This dataset is part of a larger collection

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153.55292,-9.92973 137.99458,-9.92973 137.99458,-29.17859 153.55292,-29.17859 153.55292,-9.92973

145.7737475,-19.554159

Subjects
Bayes theorem | Bayesian | Credible | Cryptosporidium | Crystosporidiosis | Decision trees | Infectious diseases | Interval | Probability distribution | Risks | Spatial distribution | Spatio-temporal |

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  • Local : 10378.3/8085/1018.15733
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