Research Methodology and Epidemiology (SVUEK_121)
About Study Course
Objective
To provide the opportunity to gain knowledge and skills in research methodology necessary to read scientific literature, apply principles of evidence-based medicine, develop critical thinking, and promote further research activities.
Prerequisites
Basics of human anatomy, histology, and physiology; basic arithmetic.
Learning outcomes
• Explain the difference between quantitative and qualitative research methods.
• List the stages in the research process.
• Identify ethical issues in health research.
• Recognise different types of scientific literature.
• Explain the difference between literature review and systematic review.
• Interpret the concepts of “risk factor, cause, and confounder” in the context of multifactorial theory of causation.
• Identify suitable data sources and data collection methods.
• Describe the concept of a representative sample.
• Distinguish prevalence and incidence measures.
• Explain the purpose of the age-standardisation procedure and interpret age-standardised rates.
• List and describe epidemiologic study designs, their advantages and disadvantages.
• Interpret measures of association.
• Explain the difference between random errors and biases.
• Provide examples of selection bias and information bias.
• Interpret measures of test sensitivity, specificity, and predictive values.
• Explain the relationship between test sensitivity and specificity as illustrated by the ROC curve.
• Describe the traditional structure of conference abstracts and manuscripts in health sciences.
• Recognise main principles of oral or poster presentations.
• Illustrate the link between the scientific problem, an appropriate research question and hypothesis.
• Find applicable case definition.
• Perform literature search in relevant databases, e.g., PubMed.
• Draw simplified causal diagrams and define variables.
• Calculate basic epidemiological measures: prevalence, cumulative incidence and incidence rate.
• Identify study designs in published papers.
• Calculate measures of association: risk ratio, rate ratio, odds ratio, attributable risk, attributable fraction.
• Calculate test sensitivity, specificity, and predictive values.
• Present a hypothetical research proposal.
• Formulate the scientific problem justified by literature.
• Develop the research question, the aim and tasks to answer the question.
• Choose a suitable study design and data collection methods.
• Foresee potential threats to scientific validity of study results.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Medicine, SSNMF | 5 | Master’s | Required | Mirdza Kursīte, Darja Ņesteroviča, Larisa Savrasova, Kristīne Ozoliņa, Lauma Spriņģe, Ļubova Tihomirova, Katrīne Kūkoja, Ričards Kristers Šēbergs | |
| Medicine, MF | 5 | Master’s | Required | Karīna Zavorina, Kristīne Ozoliņa, Mirdza Kursīte, Mārtiņš Zvackis, Laura Maļina, Ļubova Tihomirova, Larisa Savrasova, Jekaterina Kozačenko |
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Medicine, SSNMFz | 5 | Master’s | Required |
