TILM3579 Design and Analysis of Experiments (6 cr)
Cooperation network course
Network: Cross-institutional studies in advanced courses in mathematics and statistics
This course is offered through the Network for Advanced Studies in Mathematics. These studies are available for the following degree students:
- Bachelor's Degree Programme in Mathematics
- Master's Degree Programme in Mathematics
- Bachelor's Degree Programme in Mathematics (Subject Teacher)
- Master's Degree Programme in Mathematics (Subject Teacher)
- Bachelor's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
- Master's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
- Doctoral Programme in Mathematics and Statistics
- Doctoral Programme in Mathematics and Science (Specialication in Mathematics)
Grading scale:
0-5
Description
Analysis of variance; analysis of covariance, linear models and linear mixed models; power of a study; sample size; randomisation; blocked experiments; cross-over studies.
Learning outcomes
The student learns to build statistical models for different common experimental study designs and interpret the analysis results regarding the effect of treatment. The student understands the special features of a randomised study as compared to standard statistical modelling. The course aims at building understanding of the role of different sources of statistical variation in the observations and how such variation can be addressed in the design phase of a study.
Additional information
The course is organised every other year. The next round will be in the autumn of 2024.
Description of prerequisites
Recommended preliminary courses: Statistical Inference I; Linear and Generalised Linear Models.