Introduction to Biostatistics in English

The aim of the course is to introduce the principles of statistical thinking and the use of statistics in science. Special emphasis is put on the practical use of statistical analyses and presentation of the results.

After completing the course, the students will be able to process their own data and apply basic statistical methods to test hypotheses related to their research. They will also be aware about the assumptions and limitations of the basic statistical methods used in the course.

Here is a link to the IS page: Bi6050 Introduction to Biostatistics in English

Chapters

Chapter 1: Philosophical foundations of empirical science and statistics

Chapter 2: Data exploration and data types

Chapter 3: Probability, distribution, parameter estimates and likelihood

Chapter 4: Graphs

Chapter 5: Hypothesis testing and pattern detection; goodness-of-fit

Chapter 6: Contingency tables - association of two (or more)

Chapter 7: The t-distribution, confidence intervals, and t-tests

Chapter 8: F-test and distribution, analysis of variance (ANOVA)

Chapter 9: Linear regression, correlation and intro to general linear models

Chapter 10: When assumptions are violated - data transformation and non-parametric methods

Chapter 11: Brief introduction to multi-way ANOVA, multiple regression and general linear models