BIOSTAT 233
Statistical Issues in Global Health
Biostatistics · 4 units · Graduate courses (200-299)
Consideration of statistical issues in addressing contemporary global health challenges. Topics include statistical methods for analyzing public health surveillance data, methods and models for measuring and forecasting health of populations, epidemic modeling, agent-based modeling, evaluating and addressing sampling issues in public health data, and design and analysis of large-scale public health interventions such as vaccine trials and cancer screening programs. Applications to both infectious and noninfectious diseases. Case studies include HIV/AIDS, cancer, pandemic flu, and topical global health challenges such as recent outbreaks of emerging pathogens.
S/U or letter grading.
Requisites
Official UCLA wording
Requisite: course 200C. Recommended requisite or corequisite: course M215.
BruinTree reads · Prerequisite
confidence 1.00 · from textBruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOSTAT 233
- BIOSTAT 200CMethods in Biostatistics C
- BIOSTAT M215Survival Analysis
- BIOSTAT 202BMathematical Statistics B
- BIOSTAT 202AMathematical Statistics A
- STATS 100CLinear Models
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.