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Rubin Casual Model

In the Rubin causal model, a potential outcome of a variable YY is simply “the value that YY would have taken for individual uu, had XX been assigned the value xx.” It’s often convenient to write this quantity more compactly as YX=x(u)Y_X = _x(u). Often we abbreviate this further as Yx(u)Y_x(u) if it is apparent from the context what variable is being set to the value x.

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Updated 2020-04-09

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Data Science