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Lecturer(s)
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Holá Jana, doc. Ing. Ph.D.
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Javůrek Milan, doc. Ing. CSc.
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Čegan Lukáš, Ing. Ph.D.
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Záhorová Věra, Mgr. Ph.D.
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Course content
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Errors, error propagation and uncertainties of instrumental measurements. One-and two-factor analysis of variance (ANOVA). Exploratory analysis of univariate data in the interactive analysis of univariate data. Statistical testing and diagnostic analysis of univariate data graphs. Construction of the linear regression model regression triplet. Linear and nonlinear calibration of instrumental data. Overview of multivariate statistical methods and principal component analysis with the analysis of clusters. Summary of principles for processing of statistical data in the thesis. Practicing exploatorní analysis. Statistical testing and diagnostic plots. Analysis of variance ANOVA. Practicing law on the accumulation of errors. Linear regression models. Examples of multivariate statistical methods. Preparing for statistical data processing within Dipl. labor.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Methods of individual activities, Skills training
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Learning outcomes
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The aim of the subject of health care statistics is to acquaint students with overview of methods of computer-based interactive statistical data processing in medicine and in natural sciences. Apart from the methodology of interactive dialogue analysis of data, students will also familiarize themselves with practical use in tens of examples from the fields of biochemistry, medicine, and pharmacology. A crucial part of the subject is also independent solution of tasks in the field of health care practice in a student's final semester work using statistical software ADSTAT and STATISTICA.
Students gain knowledge and practical skills in the most common software in the field of computer analysis of health care and other natural science data in the Czech Republic.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Home assignment evaluation, Didactic test
- Completion of compulsory set attendance at lectures and exercises - Meet the specified written work - Successful completion of a written test or an oral examination according to established criteria
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Recommended literature
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HOLÁ, J. Úvod do statistické analýzy jednorozměrných dat. Pardubice: Univerzita Pardubice, 2012.
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KASAL, P.; SVAČINA, Š. a kol. Lékařská informatika. 1. vyd. Praha: Karolinum, 1998.
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MELOUN, M.; MILITKÝ, J. Interaktivní statistická analýza dat. 3. vyd. Praha: Karolinum, 2012.
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Meloun, Milan. Statistická analýza experimentálních dat. Praha: Academia, 2004. ISBN 80-200-1254-0.
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ZVÁROVÁ, J. Základy statistiky pro biomedicínské obory. 1. vyd. Praha: Karolinum, 2004.
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