A confidence interval approach to data analysis

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Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority (2009, background): “Thus the confidence interval provides a richer basis for interpretation and allows stronger conclusions to be drawn about the null hypothesis than standard hypothesis testing (Aberson, 2002; Di Stefano, 2004; Martinez-Abrain, 2007).”
Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian (2009, background): “” From discussion of this issue with other scientists, it seems the biggest psychological impediment to the acceptance of the neoFisherian paradigm is a reluctance to throw out that deceptive crutch, the phrase ‘statistically significant’. As Stoehr (1999) points out, we all would like a “quick, obj”