Biostatistics Weekly Seminar

Second-Generation p-values

Jeffrey D. Blume, PhD

   Associate Professor of Biostatistics and Biomedical Informatics
   Vice-Chair for Education, Biostatistics
   Director of Graduate Education, Data Science Institute
   Vanderbilt University

Despite decades of controversy, p-values remain a popular tool for assessing when the data are incompatible with the null hypothesis. While it is widely recognized that p-values are imperfect, the consequences of ignoring their flaws remain elusive and p-values continue to flourish in the scientific literature. In this talk, I will introduce the second-generation p-value, a novel and intuitive extension that better serves the intended purpose. Second-generation p-values are the proportion of data-supported hypotheses that are contained in an interval null hypothesis that consists of all null, practically null, and scientifically uninteresting effects. This emphasis on scientific relevance obviates the need for multiple comparisons adjustments and reduces false discovery rates. I will discuss the statistical properties of second-generation p-values and illustrate their use in a high-dimensional analysis of genetic markers for Leukemia.

MRBIII, Room 1220
5 December 2018

Speaker Itinerary

Topic revision: r2 - 04 Dec 2018, ThomasStewart

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