SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Systematic reviews and meta-analysis - MZ340E15
Title: Systematic reviews and meta-analysis
Czech title: Systematické přehledy a meta-analýzy
Guaranteed by: Department of Social Geography and Regional Development (31-340)
Faculty: Faculty of Science
Actual: from 2022
Semester: summer
E-Credits: 2
Examination process: summer s.:
Hours per week, examination: summer s.:0/1, C [DS]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Explanation: předmět probíhá blokově většinou začátkem zkouškového obd.
Note: enabled for web enrollment
Guarantor: prof. Hynek Pikhart, Ph.D.
Teacher(s): prof. Hynek Pikhart, Ph.D.
Annotation -
Last update: RNDr. Kamila Klingorová, Ph.D. (19.02.2018)
The course prepares students to critically evaluate and review papers and distinguish between general review papers, systematic reviews, and meta-analyses. It therefore gives students the ability to critically work with literature and data sources which they can use during studies and in practice. The course is organized as a one-day intensive lecture.
Literature -
Last update: RNDr. Kamila Klingorová, Ph.D. (22.03.2018)

Greenhalgh T. Papers that summarise other papers (systematic reviews and meta-analyses). British Medical Journal 1997; 315: 672-675

Akobeng, AK. Understanding systematic reviews and meta-analysis. Arch. Dis. Child., 2005; 90(8): 845 -848.

 

Requirements to the exam -
Last update: Mgr. Anna Altová (15.02.2021)

To obtain the credits students are required to attend and actively participate in the discussion during the course. 

Syllabus -
Last update: Mgr. Anna Altová (16.05.2023)

- Review (narrative review) vs. Systematic review vs. Meta-analysis: characteristics

- Systematic review: structure, elements, advantages, data sources, assigning weight to studies in a systematic review, evaluating systematic review, databases in the Cochrane Library

- Meta-analysis: systematic analysis of the results, rationale, goals, main types, general approaches to meta-analysis: Fixed effects and Random effects, The Funnel plot, Biases in meta-analysis

data sources, evaluating, advantages, disadvantages

 

 
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