Design of Experiments

3 Credits · Level: Graduate, Undergraduate

This MS level course emphasizes applied and practical aspects of experimental design and analysis. Both design and analysis of experiments as well as software implementation (SAS and R) are discussed. The class mainly covers: Randomization, Analysis of Variance (ANOVA), Completely Randomized Designs, Multiple Comparisons and Contrasts, Power and Sample Size, Factorial Treatment Structure, Mixed Effects Models, Split-Plot Design (Cross-Over Design and Repeated Measures) and Analysis of Covariance (ANCOVA). Applications refer to clinical trials, dose-response modeling, bioequivalence assessment and quality control problems among others.