Fixing the nonconvergence bug in logistic regression with SPLUS and SAS

@article{Heinze2003FixingTN,
  title={Fixing the nonconvergence bug in logistic regression with SPLUS and SAS},
  author={Georg Heinze and Meinhard Ploner},
  journal={Computer methods and programs in biomedicine},
  year={2003},
  volume={71 2},
  pages={181-7}
}
When analyzing clinical data with binary outcomes, the parameter estimates and consequently the odds ratio estimates of a logistic model sometimes do not converge to finite values. This phenomenon is due to special conditions in a data set and known as 'separation'. Statistical software packages for logistic regression using the maximum likelihood method cannot appropriately deal with this problem. A new procedure to solve the problem has been proposed by Heinze and Schemper (Stat. Med. 21… CONTINUE READING
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