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Strong Inference in Mathematical Modeling: A Method for Robust Science in the Twenty-First Century
16 references·1 citing·39 second hop
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References

  • 2015Estimating the reproducibility of psychological science8,516 cited
  • 20161,500 scientists lift the lid on reproducibility4,200 cited
  • 1994Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences3,016 cited
  • 1964Strong Inference2,904 cited
  • 1960The Logic of Scientific Discovery.2,444 cited
  • 2011Believe it or not: how much can we rely on published data on potential drug targets?1,885 cited
  • 2016What does research reproducibility mean?1,291 cited
  • 2012Misconduct accounts for the majority of retracted scientific publications1,231 cited
  • 1965The Method of Multiple Working Hypotheses1,071 cited
  • 1890The Method of Multiple Working Hypotheses504 cited
  • 2013Why Has the Number of Scientific Retractions Increased?415 cited
  • 2012A Comprehensive Survey of Retracted Articles from the Scholarly Literature355 cited
  • 2015How scientists fool themselves – and how they can stop296 cited
  • 2013Why Growing Retractions Are (Mostly) a Good Sign272 cited
  • 2003Effect of interpretive bias on research evidence222 cited
  • 2015Blind analysis: Hide results to seek the truth

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  • 2020Mathematical Biology: Expand, Expose, and Educate!8 cited