Code: F7AMSBSCD Statistical Methods in the Analysis of Clinical Studies
Lecturer: doc. Dr. Aleš Tichopád Weekly load: 2P+2S Completion: A, EX
Department: 17110 Credits: 4 Semester: W
Description:
The course focuses on methods of statistical analysis designed primarily for medical research and clinical evaluation of medical devices. Students will be introduced to clinical research methodology, clinical study design and then to commonly used methods of processing and testing clinical data.
Contents:
Statistics, biostatistics, statistical calculations in the R programming language. Data processing. Graphical analysis. Introduction to probability. Random variable distribution. Random samples. Principles of statistic thinking. Estimation and hypothesis testing. Parametrical and non-parametrical test in normal distribution. T-tests. Binomial distribution and tests. Analysis of variance. Contingency tables. Correlation and regression.
Seminar contents:
Statistics, biostatistics, statistical calculations in the R programming language. Data processing. Graphical analysis. Introduction to probability. Random variable distribution. Random samples. Principles of statistic thinking. Estimation and hypothesis testing. Parametrical and non-parametrical test in normal distribution. T-tests. Binomial distribution and tests. Analysis of variance. Contingency tables. Correlation and regression.
Recommended literature:
Required:
CHATFIELD, Christopher. Statistics for technology: a course in applied statistics. 3rd ed. (rev.). Boca Raton, Fla.: Chapman & Hall/CRC, 1998. ISBN 978-0-412-25340-9

Recommended:
SOCR. The Probability and Statistics EBook. Los Angeles: Statistics Online Computational Resource. 2014. (Volně dostupné na: http://wiki.stat.ucla.edu/socr/index.php/EBook)

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