Bayesiansk Propensity Score Matching
Bayesiansk Propensity Score Matching (Bayesian PSM) udvider klassisk propensity score matching ved at placere en prior-fordeling over parametrene i propensity-modellen og propagere usikkerhed fra posterior-fordelingen gennem matching- og outcome-stadierne. Formelt introduceret af Kaplan og Chen (2012), tilbyder den en principiel håndtering af estimeringsusikkerhed, som frequentistisk matching almindeligvis ignorerer, og tillader inkorporering af substantiel forudgående viden om behandlingsselektion.
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Kilder
- 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 ↗
- 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 ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). Bayesian Propensity Score Matching Estimator. ScholarGate. https://scholargate.app/da/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.
- Bayesiansk Difference-in-DifferencesKausal inferens↔ compare
- Coarsened Exact Matching (CEM)Kausal inferens↔ compare
- Dobbelt Robust Estimation (AIPW)Kausal inferens↔ compare
- Entropy BalancingKausal inferens↔ compare
- Vægtning med den inverse behandlingssandsynlighed (IPW / IPTW)Kausal inferens↔ compare
- Propensity Score MatchingForskningsstatistik↔ compare
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