Course syllabus / YU only
¶Provides students with the fundamental principles of experimental design, statistical and exploratory data analysis
and visualization, emphasizing research related to human health and clinical settings. Statistical topics include
descriptive statistics, hypothesis testing, analysis of variance, correlation, regression, chi-square test, and nonparametric methods.
¶Course Learning Outcomes
By the end of this course, students will be able to:
1. Explain the role of regression models, conduct and interpret inferential statistics and descriptive statistics.
2. Plan and design analyses relevant for life sciences, formulate Null- and Alternative hypotheses and appropriately test these using statistical software.
3. Read, interpret and understand analyses based on texts or statistical outputs.
4. Interact and collaborate with epidemiologists, scientists and statisticians.