The course main goal is training medical engineering students in making sound quantitative statistical analysis in their field of study. The course will focus on statistical modelling, hypothesis testing and statistics of agreement. Application of statistical theory to medical engineering (e.g. imaging, signal processing, clinical validations) will have a prominent role.
Students will be trained in selecting the most appropriate statistical method for a given situation, and in using optimization methods, statistical inference and regression beyond least-square methods.
After the course students will be able to:
-Handle and analyse, in a computationally efficient way, large data sets
-List and describe the most common statistical tools (specified in the course PM) used in medical engineering
-Given a problem to solve or a situation requiring statistical analysis, identify the most suitable statistical tools for the task and deploy the chosen methods in the given context.
-Identify and discuss the limits of validity of the statistical tools presented in the course
For grade A students must also show to be able to adapt with slight modifications or combine different tools in order to attack problems that cannot be solved by straightforward application of the methods presented in the course.
