Provides disciplinary research participation. Original or existing research options provide undergraduates the opportunity for faculty/mentor interactions including access to appropriate facilities. Medical Epidemiology research areas: Cancer, Genetic/Molecular, Environmental, Occupational, Biostatistics, and Infectious Disease.

Introduces the scope of epidemiology, measures of disease occurrence and association in populations, public health surveillance, diagnostic testing and screening studies, and methods and best practices for collecting data.

Design, conduct, and critical evaluation of randomized and observational study designs.

Applies core epidemiologic concepts to the analysis, interpretation, and communication of epidemiologic data from different study designs.

Introduces different causal inference and scientific reasoning frameworks, with an emphasis on study design and analysis using causal diagrams to identify and minimize potential biases in research questions.

Introduces different approaches to formulating and appraising research questions accounting for study design and data analysis considerations with a focus on estimating causal effects from observational data.

Concentrates on understanding how epidemiology plays a role in the search for cancer etiology, prevention, control, and treatment; gives an overview of cancer research with an appreciation of the multidisciplinary nature of the field.

Genetic epidemiologic research principles, covering diverse study designs and methods. Integrates literature examples, lectures, demonstrations, and software applications for varied study designs, ranging from unrelated individuals to large extended kindreds. Includes in-class discussions, group projects, and exercises for concept reinforcement.

Introduction to the basic statistical techniques commonly used in public health research. Topics include descriptive statistics, basic probability, inferential statistics (estimation, confidence intervals, and hypothesis testing), and contingency tables. SAS software is introduced.

Explores advanced statistical analysis methods for biological and medical applications. Topics include linear, logistic, and generalized linear regression models like Poisson regression.

Intended for graduate students in epidemiology, public health, and related fields. Introduces statistical methods for analyzing survival and longitudinal/clustered data, and techniques to resolve missing data.

Advanced statistical analysis for epidemiologic studies, focusing on time-to-event data. Modern approaches, covering survival analysis, missing data, and statistical power analysis. SAS procedures PHREG, LIFEREG, and LIFETEST for intricate dataset analysis. Emphasis on model selection and proper interpretation.

Concentrates on epidemiological approaches to the assessment of community environmental hazards; issues involved in environmental exposure estimation; interdisciplinary approaches to environmental epidemiology, including the use of biomarkers of exposures and susceptibility; epidemiological studies within the context of risk assessment.

Human nutrition issues requiring epidemiologic principles and quantitative methods; historical and cultural dietary patterns; population dietary assessment; statistical approaches in nutrition research; public health and clinical topics including nutritional biochemistry and genomics, dietary guidelines, and food policy.

Provides students with knowledge of the basic principles, concepts, and methods used in statistical genetic research. Topics include principles of population genetics, and statistical methods for family- and population-based studies.

Learn SAS basics, Base SAS, DATA step essentials, and PROCs for data exploration and analysis. Topics include data reading, variable creation, sorting, merging, and common functions. Priority for MS/PhD Epidemiology, MPH Epidemiology/Biostatistics students concurrently enrolled.

Develop SAS proficiency in epidemiology/public health research. Goals include expanding SAS knowledge, enhancing self-sufficiency via online resources, and understanding program outcomes. Reinforce study design and data analysis basics while emphasizing SAS as a tool for data management.

Insights into the descriptive epidemiology of cardiovascular disease, the worldwide cardiovascular disease epidemic, pivotal epidemiologic studies, assessment techniques for cardiovascular risk, and prevention and management strategies.

Industrial ecology of toxicants and their impacts on environmental quality and human health. Explores theoretical basis of toxicity thresholds and regulatory issues. Uses classic and contemporary research articles to understand the legacy of traditional toxicants, and to identify emerging threats.

Explores environmental health's role in disease prevention. Studies human-environment interaction, focusing on chemical, physical, and biological agents in community and occupational settings. Covers climate change, environmental justice, children’s health, exposure assessment, and policy for public health improvement.

Emission of air pollutants into the atmosphere, physical and meteorological processes that affect transport, and influence on global warming. Concepts of how and where people are most exposed, and how exposures and health effects differ in developed and developing regions.

Presents various topics and the latest research in the broad field of epidemiology.

Develop skills in literature review, critical appraisal of scientific research, and effective communications tailored specifically for the field of epidemiology. Communicate epidemiological concepts through various mediums, emphasizing both written and verbal communication.

A forum for the presentation of recent research to epidemiology students, faculty, and other interested parties. The atmosphere is informal, yet rigorous. Speakers range from graduate students through distinguished visitors from other institutions.

Individual research and study necessary for a graduate student to prepare and complete the thesis required for the Master of Science (M.S.) degree.

Individual research and study necessary for a graduate student to prepare and complete the dissertation required for the Doctor of Philosophy (Ph.D.) degree.

Directed study with Epidemiology faculty.

Independent research with Epidemiology faculty.

Limited to students with active Teaching Assistant (T.A.) appointments.