BPST051c Biostatistics - practice

Faculty of Medicine
Autumn 2009
Extent and Intensity
0/1. 1 credit(s). Type of Completion: z (credit).
Teacher(s)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
Guaranteed by
RNDr. Jiří Jarkovský, Ph.D.
RECETOX – Faculty of Science
Timetable
Mon 19. 10. to Fri 8. 1. Wed 17:00–20:10 A,01026
Prerequisites
Biostatistics - any theoretical course
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
Course objectives
In the end of the course student should be able to apply basic principles of biostatistical analysis and utilize them in his/her research work: Using MS Excel for data preprocessing Using Statistica for Windows for data analysis Application of charts in MS Office and Statistica software for data visualisation Application of descriptive statistics in Statistica for Windows Application of statistical tests in Statistica for Windows
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
Teaching methods
Practical training using computers
Assessment methods
Individual projects on correct application of statistical methods on example data
Language of instruction
Czech
Further Comments
Study Materials
The course is also listed under the following terms Autumn 2010.
  • Enrolment Statistics (Autumn 2009, recent)
  • Permalink: https://is.muni.cz/course/med/autumn2009/BPST051c