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

Staff

Degree Requirement Attributes

Dist:QDS

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