Applied Statistical Methods: Analysis of Variance - Module 2

19-20 March 2018 | 9h30-17h30

i3S - Instituto de Investigação e Inovação em Saúde

This course is the second module of a series of independent modules in statistics applied to the life sciences. This second course is addressed to those who work with animal experiments, although this can be transposed into other fields. The examples are presented in real context with simulated data.

The aim of this course is to learn and apply statistical methodologies that can be used during many stages of the experimental process. The use of these techniques will assure that experiments are conducted in a logical and efficient way, which should result in reliable and reproducible decisions.

A range of studies design will be addressed in this course, including: block, factorial, nested, split-plot, crossover, and repeated measures. The randomization process, carried out at an early stage, will be described for each of the study designs presented. Alongside each design, statistical techniques will be presented to analyze the experimental data, such as:

· analysis of variance (ANOVA),
· analysis of covariance (ANCOVA),
· nested models, and
· fixed and random effects models (mixed effects models)

Understanding these methodologies can provide researchers with tools to help them reach valid conclusions, and refine the experimental process.

Course organizers / Responsible lecturer

i3S Statistical Support Team / Carla Maria Oliveira (i3S/INEB)

Software: This course uses R and RStudio (free statistical software). No prior programming experience is required.

Limited registration: 25 participants

Language: Portuguese

Course fees:
i3S members, students - 90 euros
i3S members, students with module I certificate - 75 euros
non i3S members - 110 euros
non i3S members with module I certificate - 95 euros

* Fee includes coffee-breaks
** Registration Deadline: March 15th / Fee payment must be completed in the next 8 working days after registration and before the course starts.