340.754.01 METHODOLOGIC CHALLENGES IN EPIDEMIOLOGIC RESEARCH
- Dani Margaret Fallin
- Thomas Glass
- Bryan Lau
Integrates and extends material learned in the three-course Epidemiologic Methods sequence. Focuses on the application of strategies for addressing key methodologic challenges that arise when carrying out epidemiologic research. Incorporates experiential learning components, including computer-based laboratory exercises and a practicum, which require working knowledge of SAS or STATA.
After successful completion, students will be able to: 1. Identify complex methodologic problems in epidemiologic research, such as (a) missing data, (b) information bias, (c) confounding bias, (d) selection bias, (e) multiple exposures, and (f) multilevel determinants of disease, and state implications for etiologic inference; 2. Apply appropriate analytic tool(s) (e.g., multiple imputation, propensity scores, inverse probability weighting, regression calibration, and multilevel models) to diagnose and account for complex methodologic problems, such as those listed above; and 3. Evaluate the sensitivity of an etiologic inference to possible bias due to complex methodologic problems, such as those listed above.
- Monday 8:30 - 9:50
- Wednesday 8:30 - 9:50
- Friday 8:30 - 9:50
Epidemiologic Methods 1-3 (340.751 – 340.753) and either Statistical Methods in Public Health I-III (140.621 – 140.623) or Methods in Biostatistics I-III (140.651 – 140.653).


