Optimal Statistical Analysis Involving a Confounding Variable

Paul R. Yarnold

Optimal Data Analysis, LLC

This paper compares maximum-accuracy statistical approaches that address the effect of a confounding variable on estimated association of class variable and attribute. An example involves modeling patient ratings of likelihood they will recommend an Emergency Department to others (class variable) on the basis of five aspects of physician care behavior (attributes), as well as patient satisfaction with the amount of time spent waiting to see the physician (confounder).

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