HRP 203:
Methods for Reproducible Population Health and Clinical Research (BIODS 203, EPI 203)
This course provides an introduction to key principles of rigorous and reproducible population health and clinical research. The course consists of three modules. In the first, ethical, regulatory, and legal aspects of research integrity will be covered, such as authorship, collaboration, conflicts of interest, and data sharing agreements. The second module focuses on design and reporting considerations for rigor and reproducibility, such as threats to validity, proper interpretation of statistical measures, and reporting guidelines. The third module provides technical training in collaborative workflows and reproducible programming practices using Github and R. Content is designed for health policy, biomedical data science, and epidemiology graduate students supported by NIH training grants with reproducibility training requirements. Students in such programs should consult with their program director to ensure that this course will fulfill specific requirements of their program. Prerequisite: Basic knowledge of R.
Terms: Spr
| Units: 2