Rubin’s causal model
a model used to estimate the magnitude of an intervention’s effect relative to a comparison condition. Used primarily in economics, medicine, and public health research, the model unrealistically assumes that participants experience multiple conditions simultaneously (e.g., the same participant was in a treatment and control condition at the same time) in order to envision all possible potential outcomes of the intervention. [Donald B. Rubin (1943– ), U.S. statistician]