This course provides graduate students in public health with a comprehensive introduction to the principles and methods of biostatistics used in public health research and practice. Students will develop the statistical knowledge and analytical skills necessary to design studies, manage and analyze health data, interpret research findings, and make evidence-based public health decisions.
The course covers descriptive statistics, probability concepts, sampling methods, estimation, hypothesis testing, confidence intervals, and commonly used statistical tests. Students will also be introduced to regression techniques, analysis of categorical and continuous outcomes, survival analysis, and basic epidemiological applications. Emphasis is placed on selecting appropriate statistical methods, understanding assumptions, interpreting results in public health contexts, and critically evaluating statistical evidence in scientific literature.
Through lectures, hands-on data analysis exercises, and real-world public health case studies, students will gain practical experience using statistical software to analyze and present data. By the end of the course, students will be able to apply biostatistical methods to address public health questions, communicate findings effectively, and contribute to evidence-informed policy and practice.