Mathematical statistics for clinical assessment

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Biomedical Technology

Synopsis:

Planning experiments. Error propagation. Serial and parallel designs - precision

improvement. One-way, two-way and three-way variance analysis. Latin squares.

Factorial design of experiments. Optimum conditions definition. Factor analysis.

Discriminant analysis.

Requirements:

Syllabus of lectures:

To be specified according to particular themes of dissertations of the students

enrolled.

Syllabus of tutorials:

Study Objective:

Planning experiments. Error propagation. Serial and parallel designs - precision

improvement. One-way, two-way and three-way variance analysis. Latin squares.

Factorial design of experiments. Optimum conditions definition. Factor analysis.

Discriminant analysis.

Study materials:

[1] C. Chatfield: Statistics for Technology, Chapman & Hall, London, 1983

[2] V. Nollau: Statistische Analysen, VEB Fachbuchverlag, Leipzig, 1975

[3] Wofram MathWorld,

[4] http://mathworld.wolfram.com/topics/ProbabilityandStatistics.html

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: