MFST081c Statistics - practice

Faculty of Medicine
Spring 2017
Extent and Intensity
0/1/0. 1 credit(s). Type of Completion: z (credit).
Teacher(s)
RNDr. Danka Haruštiaková, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (seminar tutor)
Guaranteed by
prof. MUDr. Jarmila Siegelová, DrSc.
Department of Physiotherapy and Rehabilitation - Departments of Non-medical Branches - Faculty of Medicine
Contact Person: Mgr. Leona Dunklerová
Supplier department: Department of Physiotherapy and Rehabilitation - Departments of Non-medical Branches - Faculty of Medicine
Timetable
Thu 15:00–17:00 D29/347-RCX2
Prerequisites
None - basic course
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course is basic introduction into practical data analysis for students of biology and clinical study specialisations. The course accompanies theoretical lectures of data analysis and shows the computation of presented methods on PC using statistical software (descriptive statistics, one sample and two sample tests, categorical data analysis, ANOVA, correlation and regression analysis, data visualisation, basics of experimental design).
Learning outcomes
The students will be able after the course to use the folowing data analysis methods:
Descriptive statistics, data visualisation.
Tables of distribution functions.
Introduction to sampling design and experimental design.
Distribution of continuous and bivariate variables.
Application of binomial distribution in biology.
One sample testing.
Two sample testing.
Application of goodness-of-fit test in biology.
Analysis of variance (ANOVA), non - parametric ANOVA.
Corelation, linear regression.
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 distribution in biology.
  • One sample testing: sample mean, median, standard deviation, variance, binomial p.
  • Two sample testing. Parametric and non - parametric methods.
  • Application of goodness-of-fit test in biology, analysis of R x C contingency tables, discrimination of categorical data.
  • Covariance, correlation coefficients.
  • Analysis of variance (ANOVA), non-parametric ANOVA alternatives.
  • Linear regression.
Literature
  • GERYLOVOVÁ, Anna and Jan HOLČÍK. Úvod do statistiky. Text pro semináře. 2. vyd. Brno: Masarykova univerzita, 2000. 31 pp. ISBN 80-210-2301-5. info
  • GERYLOVOVÁ, Anna and Jan HOLČÍK. Statistical methodology in medical research. Vyd. 1. V Brně: Lékařská fakulta Univerzity J.E. Purkyně, 1990. 262 s. ISBN 80-210-0271-9. info
  • ZAR, Jerrold H. Biostatistical analysis. 5th ed. Upper Saddle River, N.J.: Prentice Hall, 2010. xiii, 944. ISBN 9780131008465. info
  • PETRIE, Aviva and Caroline SABIN. Medical statistics at a glance. 1st ed. Oxford: Blackwell Science, 2001. 138 s. ISBN 0632050756. info
  • ALTMAN, Douglas G. Practical statistics for medical research. 1st ed. Boca Raton: Chapmann & Hall/CRC, 1991. xii, 611. ISBN 0412276305. info
Teaching methods
exercise
Assessment methods
theoretical exam
Language of instruction
Czech
The course is also listed under the following terms Spring 2000, Spring 2001, Spring 2002, Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2018, spring 2019, spring 2020, spring 2021.
  • Enrolment Statistics (Spring 2017, recent)
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