Design of Experiments

Introduces the basic concepts and types of experimental designs with a focus on their statistical properties. Concepts covered include randomization, replication, blocking, matching, nesting, control of variation, interaction, random and fixed factors, choice of controls, estimation of precision, and sample sizes. Types of designs to be covered include classical designs such factorial, fractional factorial, split plot, randomized blocks, incomplete blocks, crossover, repeated measures, Latin squares, and central composite as well as more recent designs such as platform, adaptive, N-of-1, stepped wedge and dose finding.