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Introduction to ANOVA

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Course Information

ariel view of university buildings

This module is aimed at researchers in the laboratory and medical fields. It is suitable for those who have 
no previous experience of data analysis, as well as those seeking to refresh their skills. Understanding the assumptions
and characteristics of statistical methods is important in order to obtain the correct analysis and biological interpretation
of results.

In this workshop we introduce the issues and design concepts that need to be taken into consideration when planning a study using single, replicate or repeated test samples, or planning a simple dose-response study. The workshop will build on the standard hypothesis tests to consider situations where there are more than two comparator groups or more than one sample per subject.

3rd December 2024 - In Person - UoL Campus

For queries please contact: [email protected]

Course Code


Course Leader

Dr Steven Lane
Course Description

By the end of this course delegates will have an understanding of:
• Understand the Analysis of Variance (ANOVA) approach
• Be aware of the assumptions behind ANOVA
• Have an understanding of power and sample size calculation
• Be able to work with multiple comparisons
• Know how to choose the most appropriate methods of analysis.

What does the course cover?

• Introduction to one-way ANOVA
• Power and sample size in one-way ANOVA
• Non-parametric one-way ANOVA
• Dose-response analysis
• Two-way ANOVA
• Analysis of Covariance
• A practical session using standard statistical software will be included

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