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Courses
Course 1: Introduction to Epidemiological Research
(25h-online)
- Introduction to scientific research
- The process of scientific research
- Definition of epidemiology
- History and evolution of epidemiological research
- Introduction to review of literature
- Structure of a research proposal
- Title and statement of purpose
- Goals, objectives and questions
- Scientific hypotheses and degree of corroboration
- Definition and various types of variables
- Selection and explanation of variables
Course 2: Classification of Epidemiological Studies
(25h-online)
- Principles of study design for epidemiological research
- Observational studies
- Interventional studies
- Selection of controls and matching
- Introduction to risk and relative risk
- Selecting appropriate study types, and the weak and strong points for each of them
- Common controversies over various types of epidemiological studies
Course 3: Populations, Samples and Sampling Methods
(25h-online)
- Introduction to populations and sampling
- Various types of sampling methods
- Selecting appropriate sampling methods, and the weak and strong points for each of them
- Introduction to sample size determination
Course 4: Basic Principles of Measurement
(25h-online)
- Introduction to measurement in research
- Scales of measurements
- Basic measurements in epidemiological research
- Measurement in the socio-behavioral sciences
- Accuracy of measurement: validity and reliability
- Assessing diagnostic tests
- Measurement by questionnaire
Course 5: Confounding and Interaction
(25h-online)
- Introduction to confounding and interaction
- Identification of confounds
- Introduction to assessment of confounding
- Introduction to testing for interactions
- Introduction to dealing with interactions
Course 6: Project Management and Research Ethics
(25h-online)
- Introduction to project management and team-work
- Time management and budgeting
- Introduction to quality management and quality control (QM & QC)
- Research ethics
Course 7: Collection and Classification of Data, and Descriptive Statistics
(25h-online)
- Methods of data collection
- Classification of data, data abstraction and data coding
- Introduction to vital statistics
- Introduction to descriptive statistics
- Descriptive techniques for quantitative variables
- Measures of central tendency and dispersion, and rates and proportions
- Tables and charts
Projects
Project 1*: Designing an Analytical, Epidemiological Research Project
Students must choose a subject for researching and designing an analytical, epidemiological research project.
Project 2*: Data Collection, Classification and Analysis of a Study
Data collection, classification and descriptive and analytical analysis of a sample study.
* Both projects are mandatory and will be evaluated by a professional group. To pass this program, students must obtain at least B+ (75%) in each of the projects.
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