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Lecturer(s)
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Course content
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Lecture topics: 1. E-catalogue of the Scientific Library of UJEP, databases Medvik, NursingOvid, SCOPUS, Web of Science (open access, impact factor). 2. Selected examples of clinical trials and studies. Questionnaires - standardized questionnaires, pilot surveys. 3. Introduction to statistical investigations: population and selection, statistical variables, methods of their description. 4. Specific descriptive techniques (multiple responses, Likert scale, time series - morbidity indicators). Introduction to data analysis: population parameters, Gaussian curve, statistical hypotheses, significance level. 6. Paired versus two-sample design, corresponding parametric statistical tests. 7. Statistical testing of dependence, principle of simple linear regression and correlation. Seminar topics: 1. Searching databases available at UJEP. 2. Excel - principles for transcribing questionnaires into electronic form. 3. Excel - frequencies, contingency table, bar and bar chart. 4. Excel - working with time series from the IHIS database, standardization of indicators, line graph. 5. Excel - quantile and moment characteristics, boxplot. 6. Excel - paired and two-sample t-test (F-test). 7. Excel - chi-square test of independence, linear regression.
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The course focuses on the quantitative approach to research, specifically in the area of health care, with emphasis on selected statistical processing of the information obtained. The course aims, among other things, to provide students with practical guidance on how to proceed with the preparation of a bachelor thesis.
Expertise: The student knows the basics of statistical description and analysis, knows the appropriate terminology. Professional Skills: The student knows how to collect statistical data, record it electronically and process it by computer using elementary statistical methods. The student is able to interpret the results, either their own results or those obtained through research activities, in an adequate manner. General competences: The student understands the relevance of scientific work to their field of study and is able to apply the principles of scientific work in their field.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
Seminar paper
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Recommended literature
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Clinicaltrials.gov: Databáze U. S. National Library of Medicine.
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Medvik: https://www.medvik.cz/bmc.
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SCOPUS: https://www.scopus.com.
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Web of Science: https://webofknowledge.com.
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HRACH, K., 2011. Základy biostatistiky s využitím Excelu. Ústí n. L.: UJEP. 48 s. ISBN 978-80-7414-398-4. ISBN 978-80-7414-398-4..
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JELÍNEK, M. et al. Jak psát závěrečné práce na FZS UJEP. Ústí n. L.: UJEP, 2018. 36 s. ISBN 978-80-7561-118-5.
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WALKER, I. Výzkumné metody a statistika. Vyd. 1. Praha: Grada, 2013. 218 s. ISBN 978-80-247-3920-5.
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