Murtaugh and I agree on an important point: abandon accept/reject declarations. That alone will go a long way to improving statistical practice. (2) Don't confuse P values or deltaAIC with binary declarations. An argument against one is not necessarily an argument against the other. (3) Be careful interpreting a P value or deltaAIC as strength of evidence. That interpretation cannot be made formal and the connection between P, deltaAIC, and evidence must be recalibrated for each new problem. (4) Plot. Check models. Plot. Check assumptions. Plot.
摒弃接受/拒绝声明。这将极大地改善统计实践。(2)不要将 P 值或 deltaAIC 与二元声明混淆。反对一个并不一定意味着反对另一个。(3)在解释 P 值或 deltaAIC 作为证据强度时要小心。这种解释不能形式化,并且必须为每个新问题重新校准 P、deltaAIC 和证据之间的联系。(4)绘制。检查模型。绘制。检查假设。绘制。