Classification and regression tree analysis vs. multivariable linear and logistic regression methods as statistical tools for studying haemophilia.

@article{Henrard2015ClassificationAR,
  title={Classification and regression tree analysis vs. multivariable linear and logistic regression methods as statistical tools for studying haemophilia.},
  author={S{\'e}verine Henrard and Niko Speybroeck and Cedric Hermans},
  journal={Haemophilia : the official journal of the World Federation of Hemophilia},
  year={2015},
  volume={21 6},
  pages={715-22}
}
INTRODUCTION Haemophilia is a rare genetic haemorrhagic disease characterized by partial or complete deficiency of coagulation factor VIII, for haemophilia A, or IX, for haemophilia B. As in any other medical research domain, the field of haemophilia research is increasingly concerned with finding factors associated with binary or continuous outcomes through multivariable models. Traditional models include multiple logistic regressions, for binary outcomes, and multiple linear regressions for… CONTINUE READING