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Using Bayes factors to evaluate evidence for no effect: examples from the SIPS project.

Zoltan DienesSimon CoultonNick Heather
Published in: Addiction (Abingdon, England) (2017)
Scientists who find non-significant results should suspend judgement-unless they calculate a Bayes factor to indicate either that there is evidence for a null hypothesis (H0) over a (well-justified) alternative hypothesis (H1), or that more data are needed.
Keyphrases
  • electronic health record
  • quality improvement
  • big data
  • machine learning
  • artificial intelligence
  • deep learning