Advanced Experimental Designs - Statistical Solutions by Creascience

Learn about advanced experimental designs to account for experimental various types of constraints such as time, available resources, material heterogeneity, randomization restrictions, 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

Session 2: Constraints to Randomisation - Physical or Time Constraints

Split-Plot Designs
Repeated Measures

Target Audience

This course is aimed at engineers, researchers, biologists and depending on the target audience, the course is adapted. On the one hand by using examples specific to the field of application and on the other hand by presenting specific tools or applications, if applicable.This module introduces advanced concepts in DoE and corresponding data analysis methods (factorial designs and multi-way ANOVA).