Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Biomedical statistics (17.BMIM2B)

Native organizations units: Department of Power, Electronic and Telecommunication Engineering

Type of studies	Title
Master Academic Studies	Biomedical Engineering (Year: 1, Semester: Winter)

General information:

Category	Theoretical-methodological
Scientific or art field	Telecommunications and Signal Processing
ECTS	6

The goal of this course is to provide students with the technical knowledge required for process modeling and analysis. Students will perceive interaction theories, models, and analysis of the experimental environment. Will recognize how, when and why to apply statistical analysis techniques to understand complex biomedical systems.

Students will know when and how to apply certain statistical tools and they will be able to use alternative approaches to the characterization of individual systems

Conditions for the application of deterministic and probabilistic descriptions of biomedical phenomena. - distribution parametar assessment - Hypothesis testing. confidence interval. Regression and correlation. - Group comparisons. - Biomedical Studies. - Clinical Studies. - Epidemiological statistics. - Multivariate analysis. - Vital statistics. - Causes of errors - sample selection and size, the interpretation of results.

Lectures, lab excercises , Auditory excercises.

Authors	Title	Year	Publisher	Language
M.R. King and N.A. Mody	Numerical and Statistical Methods for Bioengineering	2010	University Press The Edinburgh Building, Cambridge CB2 8RU, UK	English
Winer, B.	Statistical principles in experimantal design	1971	McGraw-Hill, Tokio	English
L.E. Daly and Geoffrey McGilvray	Interpretation and Uses of Medical Statistics	1995	Blackwell Science	English
Kashyap, R.L.	Dynamic Stochastic Models from Empirical Data	1976	Academic Press, New York	English