ww2.amstat.org/MembersOnly/proceedings/2020/data/assets/pdf/1505342.pdf
At the heart of the controversy is the significance of statistical significance: specifically, the significance of p-values. Poorly crafted decision rules have led to a loss of confidence in p-values, with some proposing to ban this incredibly useful tool altogether. We reject this over-reaction.
We will discuss three aspects of p-values: 1) improving model specification, thereby reducing the probability of a type II error (false negative), by introducing new families of transformations to reduce skewness and excess kurtosis; 2) setting significance level as a decreasing function of sample size, thereby reducing the probability of a type I error (false positive), thus compromising between a fixed significance level and a fixed meaningful effect size; 3) continuous decision rules that assign plausibility levels to the null hypothesis and alternative hypothesis.