<p>Lecture, three hours; discussion, one hour. Requisites: courses 200A, 200B, 202A, 202B. Introduction of various methods for exploring, modeling, and analyzing spatially referenced datasets, with emphasis on environmental/natural sciences and public health. Statistical theory and foundations for carrying out principled and scientifically rigorous inference on spatially referenced datasets and computational methods and algorithms for executing statistical modeling in practice. Practical examples and applications demonstrated using open-source statistical software environment R and datasets from diverse fields, such as public health, environmental health, natural sciences, and economics. Letter grading.</p>

Biostatistics

The school aims to build health and equity, and to drive positive change for all people. The school acts on this mission through initiatives in three core areas: education, discovery, and service.

Jonathan and Karin Fielding School of Public Health

Biostatistics encompasses the methodology and theory of statistics as applied to problems in the life and health sciences.

General Catalog

Spatial Modeling and Data Analysis for Health Sciences

BIOSTAT241

4 units