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Organization, Regulations, and Courses 2022-23


BIOL 59.02 Beyond Regression and ANOVA: Causal Inference and Structural Equation Modeling

This course will explore causal inference and structural equation modeling to analyze networks of variables measured in both observational and experimental studies. The course will explore how causal inference theory is used to develop study designs to evaluate causal networks among variables. Structural equation modeling techniques will be developed that estimate the strengths of relationships among variables in these networks and that also permit the inclusion of latent variables indicated by variables that are measured.

Instructor

The staff

Degree Requirement Attributes

Dist:QDS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.