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Performance of Firth-and logF-type penalized methods in risk prediction for small or sparse binary data

  • University of Dhaka
  • Institute of Statistical Research and Training

Research output: Contribution to journal › Article › peer-review

Original languageEnglish
Article number33
JournalBMC Medical Research Methodology
Volume17
Issue number1
DOIs
StatePublished - Feb 23 2017
Externally publishedYes

ASJC Scopus Subject Areas

  • Epidemiology
  • Health Informatics

Keywords

  • Overfitting
  • Performance measures
  • Prediction model
  • Separation

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