METHOD AND APPARATUS FOR ESTIMATING TREATMENT EFFECT USING PROPENSITY SCORE RESIDUAL IN LEAST SQUARES REGRESSION ANALYSIS

摘要

The present invention relates to a method for estimating a processing effect using a propensity score residual term in a least square regression analysis and an apparatus thereof. According to the present invention, the method comprises the steps of: calculating, by a first residual term calculating unit, a first parameter value and a propensity score on the basis of a processing variable model for a processing variable, and a distribution model for a first error term included in the processing variable model, and calculating a first residual term obtained by subtracting the propensity score from the processing variable; generating, by a second residual term calculating unit, an approximation model applied with a parameter by calculating at least one second parameter value included in the approximation model for a conditional mean value of a result variable on the basis of the first parameter value to apply the same to the approximation model, and calculating a second residual term obtained by subtracting the approximation model applied with the parameter from the result variable; and estimating, by a processing effect estimating unit, a processing effect parameter by which the processing variable affects the result variable on the basis of the first and second residual terms.