LF:DSAK051 Clinical data analysis - Course Information
DSAK051 Clinical data analysis
Faculty of Medicinespring 2020
- Extent and Intensity
- 2/0. 5 credit(s). Type of Completion: k (colloquium).
- Teacher(s)
- prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
Mgr. Eva Budinská, Ph.D. (lecturer) - Guaranteed by
- prof. RNDr. Ladislav Dušek, Ph.D.
Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- there are 226 fields of study the course is directly associated with, display
- Course objectives
- Introduction to statistics, testing of hypotheses.
Tables of distribution functions.
Introduction to sampling design.
Distribution of continuous and bivariate variables.
Application of binomial and Poisson distribution in biology.
One sample testing.
Two sample testing.
Application of goodness-of-fit test in biology.
Measures of similarity in ecology.
Analysis of variance (ANOVA).
Simple linear regression. Linear regression.
Experimental design. Non - parametric ANOVA. - Syllabus
- Introduction to statistics, testing of hypotheses.
- Tables of distribution functions. Sampling from biological populations, data processing.
- Introduction to sampling design. Continuous, ordinal and nominal data in biology.
- Distribution of continuous and bivariate variables - testing of hypotheses, graphical methods.
- Application of binomial and Poisson distribution in biology.
- One sample testing: sample mean, median, standard deviation, variance, binomial p and Poisson constant.
- Two sample testing. Experimental design - randomized and blocked. Parametric and non - parametric methods.
- Application of goodness-of-fit test in biology, analysis of R x C contingency tables, discrimination of categorical data.
- Measures of similarity in ecology (covariance, correlation coefficients, similarity coefficients).
- Analysis of variance (ANOVA): one-way and two-way model.
- Simple linear regression. Linear regression. Introduction to multivariate linear regression.
- Experimental design: one-way and two-way models; factorial design, randomized blocks. Laboratory and field trials. Nested design of ANOVA in genetics and ecology. Non - parametric ANOVA.
- Literature
- Zar, J.H. (1994) Biostatistical methods. Prentice Hall, London. 2nd ed.
- G. W. Snedecor, W. G. Cochran (1971). Statistical methods. Iowa State University Press.
- J. Benedík, L. Duąek (1993) Sbírka příkladů z biostatistiky. Nakladatelství KONVOJ, Brno.
- HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
- Assessment methods
- Course is finished by written exam (colloquium) aimed on principles, prerequisties and correct selection of methods for solution of practical examples.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
Information on the per-term frequency of the course: 2 kurzy ročně.
The course is taught: in blocks.
Note related to how often the course is taught: Výuka analýzy klinických dat proběhne v tomto semestru v učebně A11/132 od 1.6 do 5.6., vždy od 15 do 19 hodin.
- Enrolment Statistics (spring 2020, recent)
- Permalink: https://is.muni.cz/course/med/spring2020/DSAK051