Variable selection in covariate dependent random partition models: an application to urinary tract infection.

@article{Barcella2016VariableSI,
  title={Variable selection in covariate dependent random partition models: an application to urinary tract infection.},
  author={William Barcella and Maria De Iorio and Gianluca Baio and James G Malone-Lee},
  journal={Statistics in medicine},
  year={2016},
  volume={35 8},
  pages={1373-89}
}
Lower urinary tract symptoms can indicate the presence of urinary tract infection (UTI), a condition that if it becomes chronic requires expensive and time consuming care as well as leading to reduced quality of life. Detecting the presence and gravity of an infection from the earliest symptoms is then highly valuable. Typically, white blood cell (WBC) count measured in a sample of urine is used to assess UTI. We consider clinical data from 1341 patients in their first visit in which UTI (i.e… CONTINUE READING
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Variable selection in covariate dependent random partition models : an application to urinary tract infection

W. Barcella, M. De Iorio, G. Baio, J. Malone-Lee
2015

A Product Partition Model With Regression on Covariates.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America • 2011

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