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The case-crossover design via penalized regression.

Sam DoerkenMaja MockenhauptLuigi NaldiMartin SchumacherPeggy Sekula
Published in: BMC medical research methodology (2016)
Penalized methods generally yield better risk classifications and much more plausible risk estimates for the EuroSCAR study than standard methods. As these novel techniques can be easily implemented using available R packages, we encourage routine use of penalized conditional logistic regression for case-crossover data.
Keyphrases
  • open label
  • double blind
  • randomized controlled trial
  • electronic health record
  • placebo controlled
  • machine learning
  • big data
  • deep learning
  • artificial intelligence