Biostatistics and Medical Informatics Department Seminar with Will Rosenberger of George Mason University

Dr. Rosenberger will discuss preservation of type I error rates and causal inference, and demonstrate that randomization tests can be used for more complex settings, such as multiple (>2) treatment comparisons, analyses with missing outcome data, and subgroup analyses. He will conclude with a few historical notes about Fisher and de Finetti.

The asterisks indicate the two most often misspelled words during Dr. Rosenberger's term as Biometrics co-editor.