Krahasoni metodat

	Vlerësimi i Politikave Estimimi Dyfish Robust	Pesha e Probabilitetit të Inversuar të Trajtimit (IPW / IPTW)
Fusha	Inferenca kauzale	Inferenca kauzale
Familja	Regression model	Regression model
Viti i origjinës	1994-2005	2000
Krijuesi	Robins, Rotnitzky & Zhao (1994); Bang & Robins (2005)	Robins, Hernán & Brumback
Lloji	Semiparametric causal estimator	Causal inference weighting estimator
Burimi themelues	Bang, H., & Robins, J. M. (2005). Doubly robust estimation in missing data and causal inference models. Biometrics, 61(4), 962-973.	Robins, J. M., Hernán, M. A., & Brumback, B. (2000). Marginal Structural Models and Causal Inference in Epidemiology. Epidemiology, 11(5), 550-560.
Emërtime të tjera	DR estimation for policy, augmented IPW for policy evaluation, AIPW policy evaluation, doubly robust policy analysis	IPW, IPTW, inverse probability of treatment weighting, marginal structural model weighting
Të lidhura	5	5
Përmbledhja	Policy Evaluation Doubly Robust Estimation applies the doubly robust (DR) estimator to assess the causal effect of a public policy or programme. It combines a model of treatment assignment (propensity score) with a model of the outcome, and requires only one of the two models to be correctly specified to produce a consistent estimate of the average treatment effect, making it a resilient tool for programme evaluation.	Inverse Probability Weighting is a causal-inference method that assigns each observation a weight equal to the inverse of its probability of receiving the treatment it actually received. Introduced by Robins, Hernán and Brumback (2000) for marginal structural models, it builds a pseudo-population in which treatment is independent of measured confounders, balancing selection bias.