Entry requirements

General entry requirements

Learning outcomes

The course intends to give the students basic knowledge in statistical data analysis, so that they be able to analyse various types of biomedical data.

Skills and abilities The student should be able to apply on completion of the course

- basic methods for descriptive statistics

- basic probability theory

- basic statistical inference

- basic multivariate data analysis

- the above methods on issues brought inter alia from other courses in the program.

Knowledge and understanding The student should on completion of the course

- be able to account for theoretical and practical basic concepts within descriptive statistics, probability theory, statistical conclusion and multivariate data analysis

- be able to account for and generalise from example of statistical data analysis brought from other courses in the program.

Judgement and approach

The student should on completion of the course

- be able to evaluate the importance and the need to call in statistical expertise for a given problem.

Content

STATISTICS

General concepts and describing statistics. Measurement technical performance measurement as precision, accuracy, bias, limit of detection, coefficient of variation. Basic concepts as correlation measures, distribution functions, random samples and sampling distribution. Statistical inference theory including parameter estimation, regression analysis and parametric and non-parametric hypothesis testing. Performance measurements as sensitivity, specificity, positive predictive value. Orientating introduction to multivariate data analysis in the form of e g hierarchical cluster analysis and multivariate regression.

Applications

Biomedical applications as e g instrument calibration, method development and validation, multiple sequence analysis and analysis of data from biomarker generating methods such as spectroscopic technologies, molecular systems analyses and automatic microscopy.

Instruction

The teaching includes lectures, computer and calculation exercises, problem-oriented group assignments and seminars. Attendance is compulsory at computer and calculation exercises and group assignments and seminars.

Assessment

To pass the course, passed results of all compulsory parts and examinations are required.

Possibility to supplement failed computer exercises can be given at the earliest at the next course date and only in case of a vacancy.

Students who have failed the examination have the right to go through examination further 4 times (= total 5 examinations). If special circumstances apply, the programme committee can admit additional examination. Every time the student participates in an examination is counted. Submission of so called blank exam is counted as an examination.