Conventional statistical inference requires that a specific model of how the data were generated be specified before the data are analyzed. Yet it is common in applications for a variety of model selection procedures to be undertaken to determine a preferred model followed by statistical tests and confidence intervals computed for this “final” model. Such practices are typically misguided. The...