Students will apply epidemiologic and biostatistical principles to the analysis of a public health dataset. Hypotheses are formulated based on datasets provided to the class and a brief literature review of the public health need for the research. Students work in small groups to plan, organize, and conduct analyses leading to final oral and written presentations of their findings. Class time held in the computer lab allows for hands-on experience with data quality assessment, preparation of datasets and variables for analysis, and multivariable modeling. Emphasis is on planning and communicating analytic plans that reflect the causal models generated by students and allow for assessment of confounding and interaction.
- EPI 512 Epidemiology I
- EPI 513/613 Epidemiology II: Methods
- EPI 514/614 Epidemiology III: Causation
- BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics
- BSTA 512/612 Linear Models
- BSTA 513/613 Categorical Data Analysis
- For those taking EPI 636, the additional prerequisite is BSTA 515 Data Management & Analysis in SAS.