2015-06-11T21:30:43 n15256

Bayesian classification and regression trees for predicting incidence of cryptosporidiosis: quantiles of sensitivity, specificity and log posterior for training and validation datasets over all accepted trees, for Bayesian classification trees

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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 Trees) model.

The dataset presents the quantiles of sensitivity, specificity and log posterior for training and validation datasets over all accepted trees, for Bayesian classification trees in the study.

Location of data collection

kmlPolyCoords
153.552920,-9.929730 137.994575,-9.929730 137.994575,-29.178588 153.552920,-29.178588 153.552920,-9.929730

Publications

Hu, Wen, O'Leary, Rebecca, Mengersen, Kerrie, & Low-Choy, Sama (2011) Bayesian Classification and regression trees for predicting incidence of cryptosporidiosis. PLoS ONE, 6(8), pp. 1-8. http://eprints.qut.edu.au/52459/

Research areas

Specificity
Cryptosporidium
MATHEMATICAL SCIENCES
Decision trees
Bayes theorem
Probability distribution
Datasets
Bayesian
Validation
Infectious diseases
Crytposporidiosis
Posterior
Spatial distribution

Cite this collection

Hu, Wenbiao; O'Leary, Rebecca A.; Mengersen, Kerrie; Choy, Samantha Low (2013): Quantiles of sensitivity, specificity and log posterior for training and validation datasets over all accepted trees, for Bayesian classification trees. Table_3.xls. PLOS ONE. 10.1371/journal.pone.0023903.t003

Related information

Rebecca O'Leary, Research collaborator http://goo.gl/LqhdR6

Access the data

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© 2011 Hu et al.

Dates of data collection

From 2001 to 2011

Connections

Was collected by
Kerrie Mengersen  (Researcher)
Sama Low Choy  (Researcher)
Wenbiao Hu  (Researcher)

Contacts

Other

Date record created:
2014-07-03T14:29:46
Date record modified:
2015-06-11T21:30:43
Record status:
Published - Open Access