Regression modelQuasi-experimental / causal inference

Bayesova dvostruko robusna procjena

Bayesova dvostruko robusna procjena kombinira klasični dvostruko robusni (DR) okvir proširenog ponderiranja inverzne vjerojatnosti s Bayesovim zaključivanjem. Istovremeno modelira rezultat sklonosti i regresiju ishoda, stavljajući apriorne raspodjele na oba, te izračunava aposteriornu raspodjelu nad prosječnim učinkom tretmana koji ostaje dosljedan čak i ako je jedan od dva komponentna modela pogrešno specificiran.

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Izvori

  1. Bang, H., & Robins, J. M. (2005). Doubly robust estimation in missing data and causal inference models. Biometrics, 61(4), 962-973. DOI: 10.1111/j.1541-0420.2005.00377.x
  2. Scharfstein, D., Nabi, R., Kennedy, E. H., Huang, M.-Y., Bonvini, M., & Smid, M. (2021). Semiparametric sensitivity analysis: Unmeasured confounding in observational studies. arXiv:1910.14694. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Doubly Robust Estimation of Average Treatment Effects. ScholarGate. https://scholargate.app/hr/causal-inference/bayesian-doubly-robust-estimation

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ScholarGateBayesian Doubly Robust Estimation (Bayesian Doubly Robust Estimation of Average Treatment Effects). Preuzeto 2026-06-15 s https://scholargate.app/hr/causal-inference/bayesian-doubly-robust-estimation · Skup podataka: https://doi.org/10.5281/zenodo.20539026