Advanced study of experimental designs, observational designs, and mixed models. Topics include fixed and random effects, factorial, split-plot and repeated measures designs, and hierarchical models. Linear model methodology and Data Science concepts will also be emphasized. Prerequisites: MATH/STAT 4265/5265, and at least one of STAT 4015/5015, STAT 4025/5025, or STAT 5210. 1/27/2020 - 5/8/2020, Lecture