NURSING 291CSpecial Topics in Applied Statistics and Analytics for Health Sciences Research III
Nursing · 4 units · Graduate courses (200-299)
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.
When it runs
- Fall 2025
- Winter 2026
- Fall 2026
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisites: course 291B, doctoral standing, or consent of instructor.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
NURSING 291C
- NURSING 291BApplied Statistics and Analytics for Health Sciences Research II
- NURSING 291AApplied Statistics and Analytics for Health Sciences Research I
1 direct requisite. The whole upstream is here — 2 courses over 2 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.