The goal of this course is to introduce some statistical modeling approaches, which have been developed in the last few years and are widely used in medical and public health research, but are not covered in the core courses of the MS/PhD programs in Biostatistics and Epidemiology. Topics include penalized regression, methods for classification, evaluation of predictions, and robust regression. The cross-validation and bootstrapping procedures, which are important in evaluating and performing inference for models, will be introduced.

Description not available at this time

This course presents an overview of the field of public health, including major health problems; social, behavioral, and environmental factors affecting health; important actors within the public health system; and approaches used.

This course will provide a broad perspective of environmental contaminants, how they impact wildlife, and what lessons can be learned and applied to protect human health. Students will gain knowledge of basic principles of ecotoxicology and an understanding of critical case studies that have informed policies and practice in public health.

The course introduces topics on organization, power, and leadership in public health and has grown out of existing coursework in Commonwealth Honors College. Satisfies the Integrative Experience requirement for BS-PubHlth majors.

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.

The aim of this course is to provide fundamental statistical concepts and tools relevant to the practice of summarizing, analyzing, and visualizing data. Continuing where Introduction to Biostatistics (PUBHLTH 540) left off, this course will build your knowledge of the fundamental principles of biostatistical inference. The course will focus on linear regression and generalized linear regression models. We will use a variety of examples and exercises from medical and public health studies.

Not available at this time

Epidemiologic study design problems and issues; major methods of dietary assessment; non-dietary nutritional assessments; and the relative strength of evidence in support of diet-disease relationships.