Methodology of Epidemiological Studies (10818)
Basic information | |||||||||
Charles University | |||||||||
Methodology of Epidemiological Studies | |||||||||
admission procedure in progress | |||||||||
Blended | |||||||||
Czech | |||||||||
Microcredentials – Methodology | |||||||||
The design and conduct are key parameters of a successful, high-quality study that has a chance to be published in a prestigious peer-reviewed journal. This approach is often underestimated by postgraduate students and researchers, which can negatively affect the overall outcome of an epidemiological study. This course should help participants better understand methodology in the context of study results, including the publication process. To meet the objectives of this course, the strategy of interpretation from the apparent end—i.e., from the publication of results to the preparation of the study, including its registration in international databases—was chosen. Participants will thus have the opportunity to learn about procedures that ensure transparency in the conduct of the study and lead to results with a declared and demonstrable level of risk of bias. This should result in a high-quality study. The course will be taught both in a face-to-face and self-study format. The face-to-face teaching will consist of a total of five modules focusing on study publication, principles of epidemiological studies, preparation of documentation, study synthesis, and maintenance of the study database. The self-study component will focus on good clinical practice, available free of charge through e-learning provided by the National Drug Abuse Treatment Clinical Trials Network (NDAT CTN). |
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Study Publication; Study Types; Study Documentation; Study Synthesis; Data Management - Databases; Good Clinical Practice | |||||||||
Undergraduate; passive skill in English | |||||||||
Knowledge: • To identify the risks of bias in epidemiological and clinical studies and determine methods to minimize or establish them. • To determine the differences between interventional and non-interventional studies. • To describe the principles of clinical trials and the importance of safety in clinical trials. • To select appropriate studies for relevant issues and choose appropriate measures of frequency and effect size. • To specify the importance of high-quality studies in study synthesis. Skills: • Based on the acquired knowledge, independently prepare study documentation and register the study in an international database. • To minimize the risk of bias or describe it in a transparent manner. • To manage study data to ensure that the study output is not burdened by inaccuracies in the collected data. Competencies: • To independently conduct epidemiological studies, assess risks of bias, and maintain detailed study documentation. • To participate in clinical trials by obtaining a Good Clinical Practice Certificate. |
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Accreditation | |||||||||
11000 - Univerzita Karlova | |||||||||
175/24 | |||||||||
24.4.2024 | |||||||||
24.4.2034 | |||||||||
Further detailed information | |||||||||
2 | |||||||||
50 (total number of hours) | |||||||||
1 | |||||||||
Medicine (0912) | |||||||||
Written examination | |||||||||
Unsupervised with ID Verification | |||||||||
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1.9.2024 | |||||||||
20.12.2024 | |||||||||
Institutional License | |||||||||
approved by the Internal Evaluation Board: 4/24/2024, approval identification code: 175/24 | |||||||||
approved by the Internal Evaluation Board: 4/24/2024, approval identification code: 175/24 | |||||||||
Date and venue of the course | |||||||||
25.11.2024 | |||||||||
29.11.2024 | |||||||||
Kurz probíhá každý den od 25.11. do 29.11.2024, vždy od 15,45 hod do 18,00 hod. (tj. 3 výukové hodiny denně). | |||||||||
2024/2025 | |||||||||
winter semester | |||||||||
Ruská 87, 100 00 Praha 10 | |||||||||
306/B | |||||||||
Information for applicants | |||||||||
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30 | |||||||||
3500 Kč / course | |||||||||
16.09.2024 | |||||||||
18.11.2024 | |||||||||
doc. RNDr. Marek Petráš, Ph.D., tel: 267102245 | |||||||||
marek.petras@lf3.cuni.cz | |||||||||
Enrolment information | |||||||||