ScholarGate
Assistent
Regression modelQuasi-experimental / causal inference

Bayesian Propensity Score Matching

Bayesian Propensity Score Matching (Bayesian PSM) laiendab klassikalist sobivusskoori sobitamist, määrates eelnevate jaotuste sobivusmudeli parameetritele ning kannab tagajärjepärase ebakindluse üle sobitamis- ja tulemuste etappidesse. Kaplan ja Chen (2012) formaliseerisid selle meetodi, pakkudes põhjendatud viisi hinnangulise ebakindluse käsitlemiseks, mida sagedusmeetoditel põhinev sobitamine sageli ignoreerib, ning võimaldades kaasata ainealaseid eelnevaid teadmisi ravi valiku kohta.

Ava rakenduses MethodMindPeagiVideoPeagiDownload slides

Loe meetodi täielikku kirjeldust

Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Method map

The neighbourhood of related methods — select a node to explore.

+1 more

Allikad

  1. Kaplan, D., & Chen, J. (2012). A Two-Step Bayesian Approach for Propensity Score Analysis: Simulations and Case Study. Psychometrika, 77(3), 581-609. DOI: 10.1007/s11336-012-9262-8
  2. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. DOI: 10.1093/biomet/70.1.41

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Bayesian Propensity Score Matching Estimator. ScholarGate. https://scholargate.app/et/causal-inference/bayesian-propensity-score-matching

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Sellele viitavad

ScholarGateBayesian Propensity Score Matching (Bayesian Propensity Score Matching Estimator). Loetud 2026-06-15 aadressilt https://scholargate.app/et/causal-inference/bayesian-propensity-score-matching · Andmestik: https://doi.org/10.5281/zenodo.20539026