流行病學研究設計

Following the introductory epidemiology course, this course focuses more on epidemiological data analysis and interpretation to expand students' understanding of epidemiological research practice. Objectives: After successful completion, students are expected to: - Choose the appropriate methods to analyze data of different study designs. - Understand and apply commonly-used statistical models in epidemiological research. - Correctly present and interpret epidemiological results. Course organization: The course consists of lectures, lab exercise sessions, and group project checkpoint presentation sessions. Lab exercises (in-class discussion): Lab exercises are performed in assigned groups. Attendance at all laboratory sessions is required. Lab exercise documents will be posted on the course website (E3) a week ahead of the lab session. After group discussion of the lab exercise, there will be an open discussion led by the course instructor or TA. If you cannot participate in a lab session, you need to submit your answers to the TA before that lab. Group project: The course will provide open access datasets of different studies. Choose one for your final project. There are 3 checkpoint presentation sessions to help you complete the final project successfully.

One semester of introductory epidemiology course.

There is no required textbook, but there will be required readings for particular lectures. Nevertheless, below we list books that would be helpful. The NYMU library has electronic access to these books. - Timothy L Lash et al. (2021) Modern Epidemiology, Ed. 4. Wolters Kluwer. - Hulley, S. B. (Ed.). (2007). Designing Clinical Research. Lippincott Williams & Wilkins. - Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch (2012) Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models. Springer. - For uses of statistical packages to conduct basic data analysis: https://stats.idre.ucla.edu/#