STAT 6040 - Statistics for Epidemiology

Recent years, research in public and community health gains huge momentum. This course will cover the core concepts needed to understand, model, and interpret chronic and infectious disease risks in terms of risk factors. Topics include study design, prevalence and incidence, probability distributions, conditional probability, disease-exposure association, statistical significance, causal inference, regression analysis, exposure modeling, and structural equation models. Several interesting applications using real data will be discussed. R software will be used for computation.

Prerequisites/Corequisites: Prerequisites: STAT 2600 or STAT 3640 or instructor approval.

Credits: 3 hours

Notes: Open to graduate students only.

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