Concepts of multivariate causality; criteria for establishing causality; risk; rates; incidence, prevalence and attack rates; incidence density; crude, specific and adjusted rates; relative risk, odds ratio, case-fatality rate and attributable risk; sampling error, selection bias, information bias, definition bias, and confounding; statistical techniques to control for bias; variables; overview of statistical analysis; multiple comparisons correction; study designs to avoid bias: survey and sample selection, cross-sectional, cohort, case-control; prospective vs retrospective; attributes of cohort studies; design principles of case-control studies; types of control groups; strategies of matching in case-control studies; experiential introduction to statistical computing for different types of clinical epidemiology studies. Course objectives are:
- Apply the major principles of epidemiology to designing, executing and publishing clinical research projects.
- Experience the application of epidemiologic principles in the analysis of actual clinical research data with SAS.
Prerequisites: DCS 5110: Statistical Analysis System (SAS) Training, and DCS 5101: Biostatistics Lab I, or equivalent
Credit: 3 hours; required for all program students
Grading Criteria: Pass/Fail
Course Director: Robert W. Haley, MD, Professor and Director, Department of Internal Medicine, Division of Epidemiology (E5.732), phone: 214 648-3075
Course Administrator: Mack Dressler, Assistant Administrator for Education and Degree Programs
The Department of Clinical Sciences (E5.506), phone: 214 648-6489, fax: 214 648-3934
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