Learn about advanced experimental designs to account for experimental various types of constraints such as time, available resources, material heterogeneity, randomization restrictions when certain factors are more difficult or costly to change than others, different sizes of experimental units as well as repeated measures. In this course, the construction of advanced designs and their statistical analysis is covered with the help of real case studies.
Course Outline
The recommended duration for this course is 2 online session(s).
The most popular version of this course comprises 2 sessions described as follows:Session 1: Heterogeneity Constraint - Take into Account Several Constraints- Randomised Complete Block Designs
- Latin Squares
- Analysis of Covariance
- Split-Plot Designs
- Repeated Measures