How should we cope with the fact that data-driven processes, multiplicity and selection effects can invalidate a method’s control of error probabilities?.Experts do not agree on how to improve reliability, and these disagreements reflect philosophical battles–old and new– about the nature of inductive-statistical evidence and the roles of probability in statistical inference. High powered methods, the big data revolution, and the crisis of replication in medicine and social sciences have prompted new reflections and debates in both statistics and philosophy about the role of traditional statistical methodology in current science. Berger ( Duke University) abstract Controlling for Multiplicity in Science

Suzanne Thornton (Swarthmore College) abstract The Duality of Parameters and the Duality of ProbabilityĬlark Glymour (Carnegie Mellon University) abstract Good Data DredgingĬonor Mayo-Wilson (University of Washington, Seattle abstract Bamboozled By Bonferroni Multiplicity, Data-Dredging, and Error Controlĭeborah Mayo (Virginia Tech) abstract Error control and Severity

But if you’re attending the PSA (in Pittsburgh), we hope you’ll falsify this supposition and come to hear us (Mayo, Thornton, Glymour, Mayo-Wilson, Berger) wrestle with some rival views on the trenchant problems of multiplicity, data-dredging, and error control. Some claim that no one attends Sunday morning (9am) sessions at the Philosophy of Science Association.

, data dredging