Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.

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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, ...

The books Lies, Damn Lies, and Statistics (Wheeler, 1976) and Damned Lies and Statistics (Best, 2001) have raised questions about whether statistics can be trusted. A number of educated people today, ...

The scientific world is abuzz following recommendations by two of the most prestigious scholarly journals – The American Statistician and Nature – that the term “statistical significance” be retired.