NURSING 291C
Special Topics in Applied Statistics and Analytics for Health Sciences Research III
Grades
Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.
Workload and assignments
Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.
dibs has not read this course’s reviews, so it cannot say what kind of work it sets. That is dibs not having looked. It is not a course without papers or exams, and the reviews linked below are the answer until dibs catches up.
What comes first
dibs has not read a class page for NURSING 291C in any term it holds, so it cannot say what comes before it.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
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.
Sections in Winter 2027
From the people who took it
Student reviews
What taking NURSING 291C was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
No student reviews are available to read on dibs for this course yet. Took it? Tell the next person what helped, what was hard, and how you spent your time.
Looking for more perspectives?
External reviews are separate and do not count toward the dibs rating.