Exploiting Sources of Variation in your Data: the ANOVA Approach-M7

Start op 07.01.2025

AI en Data Science

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° DA24-25-M7 Engels
Tags: Data Analysis

Beschrijving

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.

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.

Course prerequisites

Participants are expected to have an active knowledge of the basic principles underlying statistical strategies, at a level equivalent to Module 4 of this year's program. Some R skills are advised consistent with the course content of Module 2 of this year's program.

Exam / Certificate

If you take part in all 5 sessions you will receive a certificate of attendance via e-mail after the course ends.

Additionally, you can take part in an exam. If you succeed in this test a certificate from Ghent University is issued.
The exam consists of a take home project assignment. You are required to write a report by a set deadline.

Course type

This is an on campus course. We offer blended learning options if, exceptionally, you can't attend a session on campus.

Schedule

5 Tuesday evenings in January and February 2025: January 7, 14, 21 and 28, February 4, 2025, from 5.30 pm to 9.30 pm

Venue

Faculty of Science, Campus Sterre, Krijgslaan 281, 9000 Gent, Building S1, 3th floor, Classroom 3.1

Course material

Access to handouts and data files

Fees

The participation fee is 1000 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations.

  • Industry, private sector, profession*: € 1000
  • Non profit, government, higher education staff: € 750
  • (Doctoral) students, unemployed: € 450

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

Registration

To register, add the course below to your shopping cart and proceed to checkout.

Is this your first registration for a Beta Academy course? In that case, you will need to create an account first. Afterward, you will receive a confirmation email to activate your account on the academy platform. You do not have to click on the activation link but can immediately return to your shopping cart to complete your course registration. If you do not receive a confirmation email for your course order, please contact our Science Academy at ipvw.ices@ugent.be

Are you currently on the Nova-academy website? To proceed with the registration, simply click on the "More information" box located on the left side.

UGent PhD students

Doctoral School pays for your course on the condition that you sign the attendance list for each lesson. If you are absent, please notify our academy in advance by email and provide the necessary documents.

We follow the No Show polity of the Doctoral School!

KMO-Portefeuille

Information on "KMO-portefeuille": https://www.ugent.be/nl/opleidingen/levenslang-leren/kmo

Organisation

Science Academy (IPVW)

Faculty of Sciences

ipvw.ices@ugent.be

Website

Cursusnummer:
DA24-25-M7
Type opleiding:
Kort- en langlopende opleidingen
Interessegebied:
AI en Data Science, Wetenschappen
Taal:
Engels
Academiejaar:
2024 - 2025
Startdatum:
07.01.2025
Lesgevers:
Els Adriaens
Contactpersoon:
ipvw-ices@ugent.be
Meer informatie

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