P000005, Statistics II: Analysis of experiments using mixed-effects models, 4.0 Hp
Print syllabus

Syllabus

Level

Third cycle

Grading Scale

The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.

Course language

English

Entry Requirements

Objectives

The objective of the course is to give an overview of the basic principles behind design and analysis of replicated factorial experiments aiming at comparing experimental treatments. Examples are given within agricultural sciences and related fields of research. On completion of the course, the student will be able to

• describe basic principles in experimental design, such as replication, blocking and balance
• specify linear fixed- and mixed-effects models, including assumptions
• select an appropriate model for a given experimental design
• use the statistical software R for analysis of fixed- and mixed-effects models
• interpret and evaluate results correctly and draw reasonable conclusions
• clearly and concisely communicate results and conclusions.

Content

The course will cover the following topics:

• block design, crossed design, hierarchical design and split-plot design
• analysis of variance
• linear mixed-effects models for normally distributed observations
• assumptions and transformation of data
• multiple comparisons.

Examination Formats and Requirements for Passing the Course

Passed exercises and passed examination in written and/or oral form

Responsible Department/Equivalent

Department of Energy and Technology

Supplementary information

Other Information

Apply at: https://personalkurser.slu.se/kurser/kurs.cfm?KursID=P000005&oid=13