ASTAc Biostatistics - practice

Faculty of Medicine
Autumn 2010
Extent and Intensity
0/1. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
Mgr. Lukáš Kohút (seminar tutor)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Institute of Biostatistics and Analyses - Other Departments for Educational and Scientific Research Activities - Faculty of Medicine
Timetable of Seminar Groups
ASTAc/01: Thu 16:00–17:40 A1/609 - IBA (A1,6.p, Kamenice 3)
ASTAc/02: Thu 16:00–17:40 A1/609 - IBA (A1,6.p, Kamenice 3)
ASTAc/03: Thu 17:50–19:30 A1/609 - IBA (A1,6.p, Kamenice 3)
ASTAc/04: Thu 17:50–19:30 A1/609 - IBA (A1,6.p, Kamenice 3)
ASTAc/05: No timetable has been entered into IS.
ASTAc/06: No timetable has been entered into IS.
ASTAc/07: No timetable has been entered into IS.
ASTAc/08: No timetable has been entered into IS.
Prerequisites
None - basic 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
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
  • Sokal, R.R., Rohlf, F.J. (1994) Biometry, W. H. Freeman, 3th ed.
  • Zar, J.H. (1998) Biostatistical analysis. Prentice Hall, London. 4th ed.
  • Petrie, A., Watson, P. (2006) Statistics for Veterinary and Animal Science, Wiley-Blackwell; 2nd ed
Teaching methods
Practical training using computers
Assessment methods
The credit for the course is obtained from presence of student on lectures.
Language of instruction
Czech
Further Comments
Study Materials
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2008, Autumn 2009, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, autumn 2018, autumn 2019, autumn 2020.
  • Enrolment Statistics (Autumn 2010, recent)
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