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Archived Curricula Guide 2015–2017
Curricula Guide is archieved. Please refer to current Curricula Guides
BTK0021 Statistics in Biomedicine 5 ECTS
Organised by
Degree Programme in Biotechnology
Person in charge
Reija Autio

General description

The course covers descriptive statistics, basics of statistical inference, testing, and power calculations.

Learning outcomes

After completing the course the students have a grasp of descriptive statistics and measures of association. They understand the basic principles of statistical inference, modeling and testing. The students are able to identify most common study designs and to choose appropriate statistical methods for analyzing various types of data. They can perform the analysis with a statistical software SPSS or R.


- Data collection, structure of data matrix, types of variables
- Descriptive statistics, frequency distribution
- Statistical dependency: cross-tabulation, correlation, group means/medians
- Basics of statistical inference: bias and variability, testing, estimation and confidence intervals
- Sample size and power calculation
- Statistical computing: SPSS or R

Teaching methods

Teaching method Contact Online
Independent work

Teaching language

English, Finnish

Luennot englanniksi, harjoitusryhmiä sekä suomeksi että englanniksi.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English


Numeric 1-5.

Study materials

Latest editions of the books

Altman D.G. Practical statistics for medical research. Chapman & Hall.

Moore D:  Statistics : concepts and controversies

Moore D, McCabe G: Introduction to the practise of statistics

Riffenburgh, R.H., Statistics in medicine, Academic Press.

Belongs to following study modules

Archived Teaching Schedule. Please refer to current Teaching Shedule.