BIOSTAT 231
Statistical Power and Sample Size Methods for Health Research
Biostatistics · 4 units · Graduate courses (200-299)
Strongly recommended: variety of other graduate coursework. Sample size and power analysis methods for common study designs, including comparison s of means and proportions, ANOVA, time-to-event data, group sequential trials, linear regression, cluster randomized trials and multilevel data, with emphasis on designing randomized trials. Discussion also of multiple endpoints.
S/U or letter grading.
Requisites
Official UCLA wording
Requisites: courses 200A, 200B.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOSTAT 231
- BIOSTAT 200AMethods in Biostatistics A
- BIOSTAT 200BMethods in Biostatistics B
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.