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The curse of dimensionality: Animal-related risk factors for pediatric diarrhea in western Kenya, and methods for dealing with a large number of predictors.

Julianne MeisnerStephen J MooneyPeter M Rabinowitz
Published in: PloS one (2019)
Automated methods of model selection are appropriate for prediction models when fit and evaluated on separate samples. However when the goal is inference, these methods can produce misleading results. Furthermore, case-control matching should be done with caution.
Keyphrases
  • case control
  • deep learning
  • high throughput
  • south africa
  • irritable bowel syndrome