Lecture, three hours; discussion, one hour. Requisites: course 291B, doctoral standing, or consent of instructor. Focus on statistical models and analytic techniques to examine complex relationships and comparisons. Approach primarily from applications and interpretation perspective. Students evaluate analytical results from research literature, and analyze data and interpret results using selected quantitative approaches. Introduction of concepts and interpretation of results from selected quantitative approaches that can address complex nursing and other health sciences research questions. Approaches to be studied include selected topics from mediation models, interactions and effect modification, structural equation models, mixed effects regression models for longitudinal or multilevel data, secondary analysis, weighted survey data, meta analysis, genomic statistics, artificial intelligence/machine learning approaches for big data. Letter grading.