This course presents injury as a major public health problem, with a focus on the policy tools available for reducing the burden of injury.

The analysis of time to event data focusing on applications of regression models to right censored data. Particular emphasis on the use and interpretation of the pro-portional hazards model. Prerequisite: PUBHLTH 640.

Integration of linear models with experimental design and sampling, considering applications with unbalanced and missing data. In-depth discussion of mixed models including parameterizations, analysis of covariance, unequal numbers of observations per cell, missing cells. Repeated measure designs and longitudinal data analysis emphasized, with many examples illustrated using SAS. Prerequisite: BIOST&EP 640 and 691F or equivalent. Recommended: Bioepi 741 and 744.

Concepts of control methods used by environmental health and engineering practitioners. Topics include water, wastewater, solid wastes, food sanitation, vector control, housing, and accident control measures.

The culminating experience of the Public Health Sciences Major, this course is designed for students to synthesize and integrate their learning from previous coursework, internship, and extra-curricular activities in the discipline. Course leads to a project, presentation, initiative, or research paper that is present at the Statewide Research Conference. Class also helps develop skills in teamwork, communication and leadership. Satisfies the Integrative Experience requirement for BS-PubHlth majors.