BIOSTAT 250A
Linear Statistical Models
Biostatistics · 4 units · Graduate courses (200-299)
Designed for students pursuing graduate degrees in biostatistics. Theoretical foundation for linear models with applications to different types of problems in biomedical field. Emphasis on mathematical training and understanding of theory and applications of linear models.
Letter grading.
Requisites
Official UCLA wording
Recommended preparation: statistical theory and linear algebra.
BruinTree reads · Recommended
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "statistical theory" (no course number found)
- · could not read "linear algebra" (no course number found)
- · no course reference could be read from this requisite
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
BIOSTAT 250A
- BIOSTAT 250BLinear Statistical Models
- BIOSTAT 250CMultivariate Biostatistics
- BIOMATH M257Computational Methods for Biostatistical Research
- BIOSTAT M257Computational Methods for Biostatistical Research