Multiple statistical tests: lessons from a d20 [version 1; peer review: 3 approved]

HIGHLIGHTS

• who: (revision and colleagues from the Tallahassee, USA have published the paper: Multiple statistical tests: lessons from a d20 [version 1; peer review: 3 approved], in the Journal: (JOURNAL)
• what: This approach assumes that each statistical test is wholly independent from each other, and thus is likely to overestimate the effect related to conducting multiple statistical tests using variations in how the measures are calculated or the use of different, but correlated, measures.
• how: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could . . .
  

   

  

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