3rd Annual DeMets Lecture Series

The Department of Biostatistics & Medical Informatics University of Wisconsin School of Medicine and Public Health is thrilled to be welcoming Dr. Tibshirani, Professor of Statistics & Professor of Biomedical Data Science at Stanford University, for the 3rd Annual DeMets Lecture Series on Thursday November 9 and Friday November 10.

Topic on Friday, November 10: Recent Advances in Post-Selection Statistical Inference
In this era of big data and complex statistical modeling, scientists use sophisticated computational tools to search through a large number of models, looking for meaningful patterns. The challenge is then to judge the strength of a large number of apparent associations that have been found. This statistical problem has become known as “Post-selection inference,” the assessment of significance and effect sizes from a data-set after mining the same data to find these associations. In this talk I will discuss new methods for computing p-values and confidence intervals in regression, that correctly account for the adaptive selection of the model.

This is joint work with Jonathan Taylor, Ryan Tibshirani, Will Fithian and Richard Lockhart

For additional information on Dr. Tibshirani, please see:

https://statistics.stanford.edu/people/robert-tibshirani
https://en.wikipedia.org/wiki/Robert_Tibshirani

Research Statement:
Robert Tibshirani’s main interests are in applied statistics, biostatistics, and data mining. He is co-author of the books Generalized Additive Models (with T. Hastie), An Introduction to the Bootstrap (with B. Efron), and Elements of Statistical Learning (with T. Hastie and J. Friedman). His current research focuses on problems in biology and genomics, medicine, and industry. With collaborator Balasubramanian Narasimhan, he also develops software packages for genomics and proteomics.