Exploiting Sources of Variation in your Data: the ANOVA Approach
Practical information:
Want to register?
- 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.
- Price: €495 - €1100
Georganiseerd door:
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.
Fees
The participation fee is 1100 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations. An exam fee of 35 EUR will be applied.
- Industry, private sector, profession*: € 1100
- Non profit, government, higher education staff: € 825
- (Doctoral) students, unemployed: € 495
*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
More information and registration on our Beta-Academy website.
