For anyone still submitting biology papers with p-values:
"Estimation statistics should replace significance testing", Claridge-Chang and Assam, 2016
https://www.nature.com/articles/nmeth.3729 (and also at https://zenodo.org/records/60156 ).
#statistics #SignificanceTesting #pvalue #ScientificPublishing
Imagine you preregistered study with tests A and B for a directed hypothesis H, but did not specify one-tailed or two-tailed testing. Test A is in the predicted direction, but p = between .05 and .09. Test B is in the non-predicted direction, but p < .05. How do you report results?
#PreRegistration #OpenScience #NHST #SignificanceTesting #pValue
`Intuitively, if the restricted #estimator is near the maximum of the #likelihood function, the score should not differ from zero by more than sampling error. While the finite sample #distributions of score tests are generally unknown, they have an #asymptotic χ2-distribution under the null #hypothesis as first proved by C. R. Rao in 1948, a fact that can be used to determine statistical #significance.`
