Prerequisite/concurrent: BIOS 500. Emphasizes the concepts and premises of the science of epidemiology. Methods of hypothesis formulation and evaluation are stressed. Techniques for quantifying the amount of disease (or other health indicator) in populations are introduced, followed by discussion of epidemiologic study designs useful for identifying etiologic factors and other relevant correlates of disease. Students gain facility with the calculation of basic epidemiologic measures of frequency, association, and impact. The concepts of random variability, bias, and effect modification are examined in detail. The use of stratified analysis, including Mantel-Haenszel techniques, is explored. Inferences from study results are discussed. Students are required to analyze and critique studies from the current medical and scientific literature.

Uses a series of case studies to teach the principles and practice of epidemiology.

Prerequisite/concurrent: EPI 530 or EPI 504. The purpose of the course is to familiarize students with the current purview of sexually transmitted disease in the developing and industrialized world.

Provides an introduction to SAS programming environment and instructs students in the techniques needed to create, organize, and edit data into a final dataset that is ready for epidemiologic analysis.

Provides an introduction to the SAS and R programming environments and instructs students in the techniques needed to create, organize, and edit data into a final dataset that is ready for epidemiologic analysis.

The purpose of this course is to provide students with practical skills and knowledge for designing, starting and implementing epidemiologic studies in research and practice.

Prerequisites: EPI 530, BIOS 500, and EPI 534 or BIOS 501. The purpose of this course is to prepare the student for analysis of epidemiologic data from various study designs including cross-sectional, case-control, and follow-up studies. The student will have the opportunity to apply the methods taught in the epidemiology methods sequence to actual data sets. After completion of the course, the student will be prepared to do the data analysis for their thesis. The course will use the statistical program, Stata, for all analyses and therefore some time will be spent in learning the fundamentals of Stata. We will analyze multiple data sets and apply epidemiologic and statistical methods such as exact tests for 2x2 tables, stratified analysis, logistic regression, and survival techniques appropriate for epidemiologists. The course will be applied and will emphasize the use of Stata to solve various epidemiologic problems using a wide range of data sets.

Prerequisite/concurrent: EPI 530. The course surveys selected chronic disease topics to illustrate applications of epidemiologic concepts. The goal of this course is to provide an overview of the descriptive epidemiology, risk factors and preventive strategies for major chronic diseases, and use chronic disease epidemiology to foster the ability to critically read and appraise the epidemiologic literature.

Pre-requisites: BIOS 500, EPI 530, and EPI 534 or EPI 533 (concurrent ok). This course is designed for students outside of the Department of Epidemiology, and further develops epidemiologic concepts introduced in Epidemiologic Methods I. The course presents a more advanced discussion of issues related to bias, study design, and interaction. It also includes an introduction to logistic regression for epidemiologic analyses.

Prerequisites EPI 530, BIOS 500, EPI 534 and BIOS 591P or BIOS 501 concurrent. ?This course develops epidemiologic concepts introduced in EPI 530: Epidemiologic Methods I, providing a more advanced discussion of issues related to causality, bias, study design, interaction, effect modification and mediation. It will also provide opportunities for the application of these examples via analysis of epidemiologic data.