The Imprecision Issues of Four Powers and Eight Predictive Powers with Historical and Interim Data

Imprecision is commonly encountered with respect to powers and predictive in clinical trials. In this article, we investigate the imprecision issues of four (Classical Power, Classical Conditional Bayesian Power) eight powers. To begin with, derive probabilities Control Superior (CS), Treatment (TS), Equivocal (E) powers, evaluate limits at point 0. Moreover, conduct extensive numerical experiments exemplify experiments, first, compute CS, TS, E for as functions sample size future data when true treatment effect favors control, treatment, equivocal, respectively. Second, under sceptical prior optimistic prior, Finally, carry out a real example show prominence methods.