LF:BLBS051c Biostatistics - practice - Course Information

BLBS051c Biostatistics - practice

Extent and Intensity

0/1. 1 credit(s). Type of Completion: z (credit).

Teacher(s)

prof. RNDr. Ladislav Dušek, Ph.D. (seminar tutor)
RNDr. Jiří Jarkovský, Ph.D. (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
Supplier department: Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine

Timetable

Wed 19:00–19:50 B11/132

Prerequisites

BLZI0211 Computer Science - p.
Biostatistics - any theoretical 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

• Laboratory Assistant (programme LF, B-SZ)

Course objectives

The course is basic introduction into practical data analysis for students of biology and clinical study specialisations. The course accompanies lectures of Bi5040 Biostatistics 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 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.
• HAVRÁNEK, Tomáš. Statistika pro biologické a lékařské vědy. 1. vyd. Praha: Academia, 1993, 476 s. ISBN 8020000801. info
• J. Benedík, L. Duąek (1993) Sbírka příkladů z biostatistiky. Nakladatelství KONVOJ, Brno.

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 (probably available only in Czech)

Information on the extent and intensity of the course: 15.

• Enrolment Statistics (autumn 2018, recent)
  
• Permalink: https://is.muni.cz/course/med/autumn2018/BLBS051c