Course detail

Advanced Methods in Biostatistics

FEKT-MPC-STAAcad. year: 2023/2024

The course is designed as a practice-oriented course focused on advanced application of multivariate statistics and stochastic modeling of the biological and medical data. The course follows on the basic methodology of one-dimensional data analysis. The methods of descriptive multivariate analysis with special emphasis on the visibility of graphical multidimensional data, stochastic modeling and prediction are discussed. Theoretical aspects are always given by way of examples and the emphasis is on the practical aspects of teaching. All computational techniques are practiced using commercially available software tools (Statistica for Windows, SPSS).

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Entry knowledge

The subject knowledge of biostatistics (ASTA) on the Bachelor´s degree level is requested, work with PC, work with software Statistica.

Rules for evaluation and completion of the course

Compliance with the requirements for terminating exercise: participation in seminars, 3 tests in more than 50% points.
Final test for more than 50% points. The test is aimed at testing the overview of multivariate statistics and stochastic modeling.
Participation in seminar is mandatory, two absences are permitted. In the case of multiple absences, it is possible to substitute the seminar after the agreement with teacher (ideally in another parallel group).

Aims

The aim of the course is to provide students skills in multivariate analysis and stochastic modeling of the biological and clinical data.
After completion of the course participants will be able to:
• evaluate the assumptions of multivariate data analysis / modeling and select the appropriate method for solving a given problem,
• apply the ordination methods and cluster analysis,
• use the tools of multivariate linear and logistic regression,
• select and use generalized linear models,
• use of multivariate analysis and models in statistical software.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

MELOUN, Milan a Jiří MILITKÝ. Statistické zpracování experimentálních dat. 1. vyd. Praha: Plus, 1994. ISBN 80-85297-56-6. (CS)
LEGENDRE, Piere a Louis LEGENDRE. Numerical Ecology 2. vyd. Elsevier Science, 1998. ISBN 978-0444892508. (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme MPC-BTB Master's, 1. year of study, winter semester, compulsory-optional

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Exercise in computer lab

26 hours, compulsory

Teacher / Lecturer