The training aims to introduce model applications commonly used in the analysis of data from studies. We seek to give sufficient background so that you better understand the types of analyses that can be implemented for designed experiments. We give practical examples and hands-on applications so that you can experience how these analyses are conducted. We introduce a framework that will easily extend to more complex structures in the models. We will assume some underlying knowledge of mathematical concepts and statistical notation.

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