Meeting the Challenge of Scientific Dissemination in the Era of COVID-19: Toward a Modular Approach to Knowledge-Sharing for Radiation Oncology.

21 , 22 Among these, P-hacking and interpretation bias (eg, “borderline significance” for nonsignificant statistical endpoints, “statistically significant” but clinically inconsequential observed differences) have vexed statisticians to the extent of revising definitions of statistical significance. 23 This bias becomes especially critical in situations in which there is minimal established comparative prior knowledge, such as during the current pandemic involving a novel corona virus with high morbidity and mortality.

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