Course detail

Biostatistics

FEKT-ASTAAcad. year: 2010/2011

The subject is an introductory, practical course focused on data analysis and information technology for medical applications. It deals with clinical data control and management and with the fundamental aspects of operation informatics for healthcare facilities. The students will be instructed in the theory of one- and multi-dimensional methods and in optimization of experimental plans. The course will also focus on pratical training with the use of all available software tools (Statistica for Windows, SPSS).

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

prof. RNDr. Ladislav Dušek, Ph.D.

Department

Department of Biomedical Engineering (UBMI)

Learning outcomes of the course unit

Descriptive data statistics, statistical hypotheses testing, graphical presentation of data, design of clinical studies, work with databases and statistical software

Prerequisites

Knowledge at secondary school level and of completed subjects in the study area

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Requirements for successful completion of the subject are specified by guarantor’s regulation updated for every academic year.

Course curriculum

Instruction is divided into three blocks (lectures and exercises) dealing with the fundamentals of statistical data analysis, information technology for clinical data acquisition and management, and the specificity of data analysis and management in clinical studies

Work placements

Not applicable.

Aims

To provide the students with sufficient knowledge for clinical data acquisition, organisation and statistical analysis including presentation and interpretation of outcomes

Specification of controlled education, way of implementation and compensation for absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

ALTMAN, Douglas. Practical statistics for medical research. London: Chapman and Hall, 1991. ISBN 0412276305. (EN)
HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993. ISBN 80-200-0080-1. (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme BTBIO-A Bachelor's

    branch A-BTB , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. RNDr. Ladislav Dušek, Ph.D.

Syllabus

BLOCK A: Fundamentals of data analysis
1. Statistics for clinical investigation and practice
2. Model distributions and their practical applications
3. The theory of hypotheses testing
4. Statistical tests and modelling
5. Fundamentals of multi-dimensional analyses
6. Statistical tests for evaluation of diagnostic trials
7. Fundamentals of epidemiological data analysis and population hazard evaluation

BLOCK B: Medical data management, information technology in healthcare
8. User’s approach to the computer, his profile, local data
9. Networks, internet
10. Principles of database construction and data management with the view of quality assurance (QA/QC)

BLOCK C. Planning, management and evaluation of clinical studies
11. Basic terminology, ethical and legal aspects
12. Data analysis in healthcare
13. Randomisation and continuous monitoring of the planned experiment

Laboratory exercise

26 hod., compulsory

Teacher / Lecturer

prof. RNDr. Ladislav Dušek, Ph.D.

Syllabus

BLOCK A: Fundamentals of data analysis
1. Statistics for clinical investigation and practice
2. Model distributions and their practical applications
3. The theory of testing statistical hypotheses
4. Statistical tests and modelling
5. Fundamentals of multi-dimensional analysis
6. Statistical tests for evaluation of diagnostic trials
7. Fundamentals of epidemiological data analysis and population hazards evaluation

BLOCK B: Data management in healthcare, information technology application
8. User’s approach to the computer, his profile, local data
9. Networks, internet
10. Principles of database construction and data management with the view of data quality assurance (QA/QC).

BLOCK C. Planning, management and evaluation of clinical studies
11. Basic terminology, ethical and legal aspects
12. Data analysis in healthcare
13. Randomisation and continuous monitoring of the planned experiment