# Module 4: Analysis of Variance

## Dates

5 Tuesday evenings in January and February: January 8, 15, 22 and 29, February 5, 2019, from 5.30 pm to 9.30 pm
Please note: the deadline for UGent PhD students who want a refund to open a dossier on the DS website (Application for Recognition) is December 7, 2018.

## Venue

Faculty of Science, Site Sterre, Krijgslaan 281, Building S9, Ghent, lecture room 3.1, 3rd floor.

## Description

To emphasize the practical approach in this course all classes will take place in a pc room.

Analysis of variance (ANOVA) is a statistical tool used in the comparison of means of a random variable over populations that differ in one or more characteristics (factors), e.g. treatment, age, sex, subject, etc.

First, we cover one-way ANOVA, where only one factor is of concern. Depending on the type of the factor, the conclusions pertain to just those factor levels included in the study (fixed factor model), or to a population of factor levels of which we observed a sample (random effects model).

In two-way and multi-way ANOVA where populations differ in more than one characteristic, the effects of factors are studied simultaneously. This yields information about the main effects of each of the factors as well as about any special joint effects (factorial design).

We also consider nested designs, where each level of a second (mostly random) factor occurs in conjunction with only one level of the first factor. One special challenge in multi-way ANOVA lies in verifying the assumptions that must be satisfied.

In this course we will focus on correct execution of data analysis and understanding its results. We pay attention to expressing these conclusions in a correct and understandable way.

The different methods will be extensively illustrated with examples from scientific studies in a variety of fields.

Exercises are worked out behind PC using the SPSS software. If preferred, participants can use R.

## Target audience

This course targets professionals and investigators from diverse areas, who need to use statistical methods in the collection and handling of data in their research, in particular for assessing the effect of e.g. different treatments.

## Exam

Participants can, if they wish, take part in an exam. Upon succeeding in this test a certificate from Ghent University will be issued.

Please note: For UGent PhD students it is no longer necessary to participate or succeed in this exam to be able to incorporate the course in the DTP.

## Incorporation in DTP and reimbursement from DS for UGent PhD students

As a UGent PhD student, to be able to incorporate this course in your Doctoral Training Program (DTP) and get a reimbursement of the registration fee from your Doctoral School (DS) you need to follow strict rules: please take the necessary action in time. The deadline to open a dossier on the DS website (Application for Recognition) for this course is December 7, 2018. Please note that opening a dossier does not mean that you are enrolled. You still need to enrol via the registration form on this site.

## Course prerequisites

Participants are expected to have an active knowledge of the basic principles underlying statistical strategies, at a level equivalent to the "Introductory Statistics" course of this program.

## Teacher

Dr. Els Adriaens (Adriaens Consulting bvba) studied biology, obtained a PhD in pharmaceutical sciences and a master in Statistical Data Analysis at Ghent University.

She is consultant in statistical data analysis specialized in the field of the development and validation of alternatives to laboratory animals.

## Course material

Handouts of slides.

## Fees

A different price applies, depending on your main type of employment.

EmploymentModule 4BookExam
Industry/Private sector1 800 TBA 30
Non-profit, government, university outside AUGent2 360 TBA 30
(Doctoral) student outside AUGent2 280 TBA 30

1 If three or more employees from the same company enrol simultaneously for this course a reduction of 10% on the module price is taken into account.

2 AUGent staff and AUGent doctoral students who pay through use of an SAP internal order/invoice can participate at these special rates.