Flinterman, A.E., Knol, E.F., Lencer, D.A., Bardina, L., den Hartog Jager, C.F., Lin, J., et al. (2008) Peanut Epitopes for IgE and IgG4 in Peanut-Sensitized Children in Relation to Severity of Peanut Allergy. Journal of Allergy and Clinical Immunology, 121, 737-743.
http://dx.doi.org/10.1016/j.jaci.2007.11.039

has been cited by the following article:

• TITLE: Clustering of the Values of a Response Variable and Simultaneous Covariate Selection Using a Stepwise Algorithm

  AUTHORS: Olivier Collignon, Jean-Marie Monnez

  KEYWORDS: Classification, Variable Selection, Supervised Learning, Akaike Information Criterion, Wilks’ Lambda

  JOURNAL NAME: Applied Mathematics, Vol.7 No.15, September 12, 2016

  ABSTRACT: In supervised learning the number of values of a response variable can be very high. Grouping these values in a few clusters can be useful to perform accurate supervised classification analyses. On the other hand selecting relevant covariates is a crucial step to build robust and efficient prediction models. We propose in this paper an algorithm that simultaneously groups the values of a response variable into a limited number of clusters and selects stepwise the best covariates that discriminate this clustering. These objectives are achieved by alternate optimization of a user-defined model selection criterion. This process extends a former version of the algorithm to a more general framework. Moreover possible further developments are discussed in detail.