Session description: Topics related to statistics, including common statistical errors and explanations, are reviewed, as well as avoiding fatal flaws from the outset and recognizing them during review. This session opens with a brief review of exploratory data analysis, association between the variables, and concept of regression models—linear, logistic, and categorical. Also discussed are goodness-of-fit assessment of the models and regression models on longitudinal data settings.
Faculty:
- Tanujit Dey, PhD, Associate Director of Biostatistics, Center for Surgery & Public Health, Department of Surgery, Brigham and Women’s Hospital; Assistant Professor, Harvard Medical School; Faculty Affiliate, Harvard Data Science Initiative
- Jennifer J. Shin, MD, SM, Vice Chair for Academic Affairs at Longwood, Department of Otolaryngology–Head and Neck Surgery, Harvard Medical School; Associate Chair for Faculty Development, Department of Surgery, Brigham and Women’s Hospital.
