BIOMATH M232
Statistical Analysis of Incomplete Data
Biomathematics · 4 units · Graduate courses (200-299)
(Same as Biostatistics M232.) Sources of incomplete data, recognizing familiar methods as solutions to missing-data problems, missing-data mechanisms, weighting and imputation strategies, model-based and design-based inference, likelihood-based and Bayesian methods, statistical computing strategies, multivariate models for diverse data types, nonignorable models, review of available statistical software. Emphasis on incorporating incomplete-data perspective into broader statistical-science framework.
S/U or letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisites: Biostatistics 200C, 202B or equivalent.
BruinTree reads · Prerequisite
needs reviewconfidence 0.50 · from text- BIOSTAT 200C
- one of
- BIOSTAT 202B
- equivalent
- · could not read "equivalent" (no course number found)
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOMATH M232
- BIOSTAT 200CMethods in Biostatistics C
- BIOSTAT 202BMathematical Statistics B
- BIOSTAT 202AMathematical Statistics A
2 direct requisites. The whole upstream is here — 3 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.