Regression modelQuasi-experimental / causal inference

Bajezijansko ponderisanje skorom sklonosti

Bajezijansko ponderisanje skorom sklonosti procenjuje uzročne efekte tretmana u opservacionim podacima kombinovanjem bajezijanskog modela za skor sklonosti sa ponderisanjem inverzne verovatnoće. Postavljanjem apriornog stava nad parametrima skora sklonosti i propagiranjem posteriorne neizvesnosti kroz korak ponderisanja, ovaj pristup daje potpuno probabilističke intervale neizvesnosti za prosečan efekat tretmana, uzimajući u obzir neizvesnost kako u modelu skora tako i u ishodu.

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Izvori

  1. McCandless, L. C., Gustafson, P., & Austin, P. C. (2009). Bayesian propensity score analysis for observational data. Statistics in Medicine, 28(1), 94–112. DOI: 10.1002/sim.3460
  2. Saarela, O., Stephens, D. A., Moodie, E. E. M., & Klein, M. B. (2015). On Bayesian estimation of marginal structural models. Biometrics, 71(2), 279–288. DOI: 10.1111/biom.12269

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Propensity Score Weighting for Causal Inference. ScholarGate. https://scholargate.app/sr/causal-inference/bayesian-propensity-score-weighting

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ScholarGateBayesian Propensity Score Weighting (Bayesian Propensity Score Weighting for Causal Inference). Preuzeto 2026-06-15 sa https://scholargate.app/sr/causal-inference/bayesian-propensity-score-weighting · Skup podataka: https://doi.org/10.5281/zenodo.20539026