M5 - Exploiting Sources of Variation in your Data: the ANOVA Approach

Course type - Dates - Venue - Description - Target audience - Exam - IMPORTANT: Incorporation in DTP and reimbursement by DS
Course prerequisites - Teacher - Course material - Fees - Enrol

Course type

In this course we focus on live on campus classes. However, we do offer the possibility to follow a class online, if for some reason you cannot attend a class in person.

Dates

5 Tuesday evenings in January and February 2022: January 11, 18, and 25, February 1 and 8, 2022, 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 10, 2021.

Venue

Faculty of Science, Site Sterre, Krijgslaan 281, building S5, 9000 Gent.

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 R software. If preferred, participants can use SPSS.

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.
The exam consists of a take home project assignment. Students are required to write a report by a set deadline.

Incorporation in DTP and reimbursement from DS for UGent PhD students

As a UGent PhD student, to be able to incorporate this 'specialist 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 10, 2021. 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.

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

Course prerequisites

Participants are expected to have an active knowledge of the basic principles underlying statistical strategies, at a level equivalent to Module 2 of this year's program. Some R skills are advised consistent with the course content of Module 1 of this year's program.

Teacher

Foto van lesgever Els AdriaensDr. 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.

Employment Module 5 Exam
Industry/Private sector1 960 30
Non-profit, government, higher education staff2 720 30
(Doctoral) students, retired, unemployed2 325 30

1 If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the module price is taken into account starting from the second enrolment.

2 UGent staff and UGent doctoral students who pay internally via SAP or internal transfer can participate at these special rates.

Enrol for this course