分子流行病学与因果推断

Molecular Epidemiology and Causal Inference is a course dedicated to exploring the intersection of molecular biology and epidemiology. In this course, students will learn how to utilize modern molecular biology techniques and methods to understand the occurrence, transmission, and prevention of diseases, as well as to explore the causes and influencing factors of diseases from multidimensional data.The course typically covers the following aspects:Fundamental Molecular Biology Knowledge: Students will learn basic concepts and techniques of molecular biology, such as DNA, RNA, proteins, and their applications in disease research.Research Design: Introduction to various research designs used in molecular epidemiology, such as cohort studies, case-control studies, and experimental designs, and understanding their strengths and weaknesses.Causal Inference Methods: Learning various causal inference methods, such as propensity score matching, instrumental variable analysis, and directed acyclic graphs, and understanding how to apply these methods in epidemiological research.Disease Research Cases: Through specific disease cases, such as cancer, cardiovascular diseases, infectious diseases, etc., the application of molecular epidemiology and causal inference methods will be demonstrated.The course aims to cultivate students' ability to comprehensively apply molecular biology, epidemiology, and causal inference methods to solve health problems, laying a solid foundation for their future work in public health, medical research, drug development, and other fields.