Regression modelQuasi-experimental / causal inference

Dinamičko uparivanje skorova sklonosti

Dinamičko uparivanje skorova sklonosti (DPSM) proširuje klasično uparivanje skorova sklonosti na situacije u kojima se tretman dodeljuje više puta tokom vremena, a raniji izbori tretmana utiču na kasnije. Ono procenjuje kauzalni efekat celokupnih sekvenci tretmana ili promena režima konstruisanjem upoređenih poređenja u svakoj tački odlučivanja, koristeći potpunu istoriju kovarijata i prethodnih tretmana.

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Izvori

  1. Lechner, M., & Miquel, R. (2010). Identification of the effects of dynamic treatments by sequential conditional independence assumptions. Empirical Economics, 39(1), 111-137. DOI: 10.1007/s00181-009-0297-3
  2. Robins, J. M. (1986). A new approach to causal inference in mortality studies with a sustained exposure period — application to control of the healthy worker survivor effect. Mathematical Modelling, 7(9-12), 1393-1512. DOI: 10.1016/0270-0255(86)90088-6

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Dynamic Propensity Score Matching for Sequential Treatments. ScholarGate. https://scholargate.app/sr/causal-inference/dynamic-propensity-score-matching

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Citirana u

ScholarGateDynamic Propensity Score Matching (Dynamic Propensity Score Matching for Sequential Treatments). Preuzeto 2026-06-15 sa https://scholargate.app/sr/causal-inference/dynamic-propensity-score-matching · Skup podataka: https://doi.org/10.5281/zenodo.20539026