Applied Statistics and Analytics for Health Sciences Research

4 units · Graduate courses (200-299)

Lecture, four hours. Introduction to applied statistics, providing students with essential skills to understand, analyze, and interpret data for comparative and relationship research questions relevant to health sciences. Exploration of foundational topics, including statistical inference and probability, distributions, effect size, descriptive statistics, data visualization, parametric and nonparametric tests for simple comparisons and relationships, as well as research database design and management. Emphasis is placed on practical skills such as statistical software proficiency, critical interpretation of results and effective evaluation of research reports in the literature. Letter grading.