I mentor and work with several students on masters and PhD level projects outside of the classroom. If you are a current student interested in my research, contact me! If you are a prospective student, please apply to our graduate program - our admission’s committee carefully reviews each application to admit a cohort of students.
Stephanie Jansson
Amy Wu Project: Survival and Mediation Analysis of Race, Telomere Length, and Cancer Mortality, Fall 2023
I teach causal inference and introduction to longitudinal data analysis in the Department of Biostatistics at the University of Iowa.
Causal inference overview, emphasis on inference in observational research; conceptual issues (e.g., counterfactuals, causal graphs, time-varying treatments/confounding), methods (e.g., inverse probability weighting, doubly robust estimators), and related applications (e.g., causal mediation analysis, quantitative bias analysis); for advanced biostatistics or epidemiology students.
Introduction to statistical models and estimation methods for outcome variables (normal and non-normal) clustered or measured repeatedly in time or space; focus on applications and computer software methods for ANOVA based methods, hierarchical linear models, linear mixed models, correlated regression models, generalized estimating equations, and generalized linear mixed models.