BIOMATH M232Statistical 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
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
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.