Modeling and interpretation of observational and experimental data using linear and nonlinear regression methods. Model building and selection methods. Multivariable analysis. Fixed and random effects models. Experimental design. Prerequisites: Math STATS 51, Math STATS 104, STATS STATS 200. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
3 units · Letter or Credit/No Credit
Modeling and interpretation of observational and experimental data using linear and nonlinear regression methods. Model building and selection methods. Multivariable analysis. Fixed and random effects models. Experimental design. Prerequisites: Math 51, Math 104, STATS 200. See https://statistics.stanford.edu/course-equiv for equivalent courses in other departments that satisfy these prerequisites.
Offered in Autumn 2025, Spring 2026 at Stanford University.