In the realm of technical product development, hypothesis testing acts as a bridge between design, data and decision-making. It enables teams to move beyond assumptions and validate their ideas ...

Consumers of research should not be satisfied with statements that “X is effective”, or “Y has an effect”. Gwenae l Piaser Empirical science needs data. But all data are subject to random variation, ...

Multiple hypothesis testing is an important part of many high-throughput data analysis workflows. A common objective is to maximize the number of discoveries while controlling the expected fraction of ...