GO-CTA vs. Marginal Structural Model: Observed Data from a Point-Treatment Study, Stratified by Known Confounder

Paul R. Yarnold

Optimal Data Analysis, LLC

Statistical evaluation of a treatment effect in the context of a known confounder is contrasted between globally-optimal classification tree analysis (GO-CTA) and marginal structural model (MSM) methods. Unlike MSM, the validity of GO-CTA doesn’t require data to satisfy numerous assumptions, and maximum-accuracy models explicitly identify underlying structure and strength of the confounding effect.

View journal article