Penalized logistic regression with low prevalence exposures beyond high dimensional settings

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  • who: Sam Doerken et al. from the Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Bordeaux, France, SISTM team, INRIA Bordeaux-Sud-Ouest, Talence, France have published the Article: Penalized logistic regression with low prevalence exposures beyond high dimensional settings, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0217057]. May 20, 2019 of June/14,/2005
  • what: Specifically the authors demonstrate that Firth correction ridge the lasso and boosting all improve the estimation for low-prevalence risk factors. Since the focus of this paper . . .

     

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