BIOSTAT 275
Advanced Survival Analysis
Biostatistics · 4 units · Graduate courses (200-299)
Time-to-event data arise in many fields, such as medicine, reliability theory, demography, sociology, economics, and astronomy. Overview of common stochastic process models and methods for analysis of such data. Examples include continuous-time Markov chain and semi-Markov models, and frailty and copula models.
S/U or letter grading.
Requisites
Official UCLA wording
Requisites: courses 250A, 255.
BruinTree reads · Prerequisite
needs reviewconfidence 0.90 · from text- · "BIOSTAT 255" is not in this catalog version
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOSTAT 275
- BIOSTAT 250ALinear Statistical Models
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.
No course in the catalog lists this as a requisite.





