NURSING 291BApplied Statistics and Analytics for Health Sciences Research II
Nursing · 4 units · Graduate courses (200-299)
Focus on linear statistical models and other analytic techniques to examine complex relationships and comparisons. Approach primarily from applications and interpretation perspective. Students evaluate statistical/analytical results from research literature, analyze data using quantitative multivariate techniques, and interpret results. Introduction of concepts and interpretation of broad range of multivariate statistical and analytical approaches, including regression (linear and logistic regression and survival models), factor analysis, multi-factor and repeated measures analysis of variance, mixed effects models, machine-learning analytic techniques for big data, and other selected approaches. Students utilize several of approaches to analyze research data.
Letter grading.
When it runs
- Spring 2026
- Spring 2027
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 291A, 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 291B
- NURSING 291AApplied Statistics and Analytics for Health Sciences Research I
1 direct requisite. The whole upstream is here — 1 course over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
NURSING 291B
- NURSING 291CSpecial Topics in Applied Statistics and Analytics for Health Sciences Research III
1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.