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Cursus > Introduction to research methods, epidemiology, statistics and critical appraisal (Compulsory module)
Introduction to research methods, epidemiology, statistics and critical appraisal (Compulsory module)
Workload and ECTS
| Class workload | Total workload | ECTS |
| 75 | 450 | 21 |
| |
Content
This unit aims to teach students the basics of research methods, including the planning, data collection, and dissemination stages of research. Students will be expected to achieve an awareness of the key approaches and issues in health-related research methods.
The content will cover:
- Principles of public health and health services research
- Quantitative designs: clinical trials and non-experimental studies
- Qualitative research methods & analysis
- Methods of data collection: interview, questionnaires, postal and telephone surveys, use of secondary data
- Sampling methods
- Review of the literature
- Writing health services research protocols; ethical and research governance issues.
- Planning research projects
- Dissemination & implementation of research findings
Main teachers
Workload and ECTS
| Class workload | Total workload | ECTS |
| 25 | 150 | 7 |
| |
An adequate level of knowledge and understanding of epidemiological methods is a basic requirement for effective public health practice. This module will cover measures of disease and association, epidemiological concepts and the main epidemiological research designs. Epidemiological concepts include association and causation, confounding and bias and the research designs will include cross-sectional, ecological, cohort, case-control and intervention studies. This module aims to develop an understanding and basic proficiency in epidemiological methods as applied to public health, in particular in the areas of epidemiological concepts, measures, research designs and interpretation.
Main teachers
Workload and ECTS
| Class workload | Total workload | ECTS |
| 25 | 150 | 7 |
| |
This module will introduce students to the basic concepts and techniques of medical statistics, such as hypothesis testing and confidence interval estimation. Students will learn some simple statistical methods and the principles behind some of the more advanced techniques such as regression. It will equip students with the knowledge and skills necessary to understand and critically appraise statistics in research literature.
Main teachers
Workload and ECTS
| Class workload | Total workload | ECTS |
| 25 | 150 | 7 |
| |
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Accueil
Introduction to research methods