https://www.selleckchem.com/pr....oducts/elimusertib-b
nostic study.Much focus in research has been given to minimizing type I errors, where we incorrectly conclude that there is a difference between 2 treatments or populations. In contrast, our standard scientific method and power analysis allows for a much greater rate of type II errors, in which we fail to show a difference when, in fact, one exists (≥20% rate of type II errors vs ≤5% rate of type I errors). Additional factors that can cause type II errors may propel their prevalence to well in excess of 20%. Failure to
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