Biostatistics (3cr)

Objective

Master student has an overview of the stages of biomedical research in medicine. He/ she can determine the parametric and nonparametric statistics to determine the significance of differences between the compared events and / or events. Master student can use modern methods of statistical analysis of data using the application software (Excel, Statistic. SPSS) for the processing and delivery of data obtained in clinical trials.

Content

Descriptive statistics: Calculation of mean values, standard deviations, fashion. The median and percentiles, etc. Determining the nature of the analysed trait (quantitative, qualitative).
Identify the type of distribution of received data - the sample (normal or non-normal) including graphical evaluation.
Determination of the nature of the phenomenon under study, depending on the type of sample (dependent or independent).
The formulation of statistical hypotheses: zero alternative, Type I and type II errors.
Dependence analysis: correlation, regression analyses.
Criteria for significance. The analysis of quantitative variables: the appointment of an analysis of variance (ANOVA). The concept of a multivariate analysis of variance.
Criteria for significance. Analysis of qualitative variables: z -test to compare two sample fractions and the condition of its applicability. An analysis of contingency tables using χ2-test.

Assessment criteria, satisfactory (1)

1 (Adequate)
Master-student demonstrates an understanding of the theoretical foundations of biomedical statistics. Master-student can identify the nature of the analysed trait (quantitative, qualitative), can determine the type of distribution, level of evidence. Has a general idea of the types of analysis.

2 (Satisfactory)
Master-student demonstrates an understanding of the theoretical foundations of biomedical statistics. Master-student can identify the nature of the analysed trait (quantitative, qualitative), can determine the type of distribution, level of evidence. Master-student shows an understanding what types of statistical analysis may be used for solving research problems and can assess the level of reliability of the research.

3 (Good)
Master-student demonstrates an understanding of the theoretical foundations of biomedical statistics, and the use of methods of parametric and non-parametric statistics, depending on the type of distribution and the nature of the analysed trait. Master-student applies statistical hypothesis depending on the type of analysis. Uses statistical programs to conduct research, determines the reliability of the study.

4 (Very good)
Master-student fully understands the theory and practice of the course. Is able to fully apply acquired knowledge in practice, determines the reliability of the study depending on the variables and the distribution character. Master-student has excellent communication skills.

5 (Excellent)
Master-student is able to detect modern methods of statistical analysis of data for the organization and conduct of scientific research, including in her/his research work, critically evaluates the results. Competently uses statistical programs, can formulate statistical hypotheses and select correct statistical criteria for testing these hypotheses depending on the task, type of data and number of measurements.