What is a Second-Generation P-Value, and Why You Should Care

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, Dr. Blume of UVA Data Science will introduce the second-generation p-value, a novel and intuitive tool that better serves the intended purpose.

He will illustrate their use in several examples, including a high-dimensional genomics setting, and show how their implicit emphasis on scientific relevance leads to improved statistical performance (as measured by error rates and false discovery rates) and yields a better assessment of scientific relevance.

For more information about this event, please contact Hannah Kierce.

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