Introduction to public health medicine, basic measures required of global leaders in disease prevention, data science medicine, knowledge and skills, related to standard ethical concerns.
Quantitative methods in biomedical research; the theoretical background and practical methods required for planning, implementation and analysis.
Basic concepts, techniques in clinical, epidemiologic, genetical and other related biostatistics.
Philosophical foundations of research, research questions, research hypotheses, ethical issues in research, population and sample, validity, research proposal, descriptive study, experimental research, basic science research; case-control study, cohort study, correlational research, survival analysis, survey research, quantitative data analysis, qualitative research, qualitative data collection, qualitative data analysis.
Basic knowledge of statistics, essential statistical tests, basic descriptive and analytic statistics, applying appropriate statistics to research questions, the roles of database, statistical software programs in analyzing clinical research data.