This 0.25 (quarter) course taught in the summer term in the Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto focusses on reviewing current popular statistical paradigms from the perspective of measuring statistical evidence, and introduces the pure likelihood paradigm as an alternative. This course is tailored to Master’s and PhD level graduate students in the Division of Biostatistics or Department of Statistical Sciences. All applications are in the field of genetics and genomics, but previous coursework in statistical genetics or genetic epidemiology is not required. Course pre-requisite is Mathematical Statistics.
Not offered in the 2019/2020 Academic Year