BIOSTAT 202A
Mathematical Statistics A
Biostatistics · 4 units · Graduate courses (200-299)
Designed primarily for students pursuing DrPh, MS, and PhD degrees in biostatistics. Introduction to main principles of probability, random variables, discrete and continuous distributions, multivariate distributions, and distributions of functions of random variables.
S/U or letter grading.
Requisites
UCLA lists no requisites for this course.
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 202A
- BIOSTAT 214Finite Population Sampling
- BIOMATH M207BApplied Genetic Modeling
- BIOSTAT M215Survival Analysis
- BIOSTAT 233Statistical Issues in Global Health
- BIOSTAT 219Special Topics: Supplemental Topics
- HUM GEN M207BApplied Genetic Modeling
- BIOSTAT M232Statistical Analysis of Incomplete Data
- BIOSTAT M235Causal Inference
- BIOSTAT 202CTheory of Bayesian Statistics
- BIOSTAT 241Spatial Modeling and Data Analysis for Health Sciences
- BIOSTAT 255AAdvanced Probability and Statistics
- BIOSTAT 250CMultivariate Biostatistics
- BIOSTAT 255BAdvanced Probability and Statistics
- BIOSTAT 270Stochastic Processes
4 courses list this as a requisite. Showing 17 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.