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.

Contents

- 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
Lectures
Independent work
Exercises

Teaching language

English, Finnish

Luennot englanniksi, harjoitusryhmiä sekä suomeksi että englanniksi.

Evaluation

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