This course focuses on study design and sampling methods as well as data analysis of small and large, national and local health surveys and vital statistics in order to gain experience describing data using effective graphical and numerical methods. Students will use statistical software (SAS) to analyze data originating from various survey designs, including data from experimental designs such as parallel, longitudinal studies that involve several treatment or intervention groups. Students will work in groups on data analysis projects and case studies in order to be exposed to others' expertise in different areas of public health and to learn effective collaboration. Readings from the literature in public health and biomedical studies will be analyzed and critiqued so that students will gain experience in distinguishing effective data analysis techniques. Emphasis will be placed on the development of critical thinking skills, statistical reasoning, and collaboration. Prerequisite: A minimum grade of "C" in PUBH 6541
Vogel, Robert L., "PUBH 9130 – Professional Seminar in Biostatistics" (2018). Jiann-Ping Hsu College of Public Health Syllabi. 297.