Robust Propensity Score Weighting
Robust Propensity Score Weighting utvider standard invers sannsynlighetsvekting ved å inkludere beskyttelsestiltak mot feilspesifisering av propensity score-modellen og ekstreme vekter. Den kombinerer teknikker som vekttrimming, overlappvekting eller utvidede utfallmodeller for å sikre at estimater av kausale effekter forblir pålitelige selv når propensity score-modellen er ufullstendig spesifisert.
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Kilder
- Robins, J. M., Rotnitzky, A., & Zhao, L. P. (1994). Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association, 89(427), 846-866. DOI: 10.1080/01621459.1994.10476818 ↗
- Zhao, Q., Small, D. S., & Bhattacharya, B. B. (2019). Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap. Journal of the Royal Statistical Society: Series B, 81(4), 735-761. DOI: 10.1111/rssb.12327 ↗
Slik siterer du denne siden
ScholarGate. (2026, June 3). Robust Propensity Score Weighting Estimator. ScholarGate. https://scholargate.app/no/causal-inference/robust-propensity-score-weighting
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.
- Dobbel robust estimering (AIPW)Kausal inferens↔ compare
- Inverse Probability of Treatment Weighting (IPW / IPTW)Kausal inferens↔ compare
- Marginal Structural Model (MSM)Kausal inferens↔ compare
- Propensity Score MatchingForskningsstatistikk↔ compare
- Propensity Score Weighting (PSW / IPW)Kausal inferens↔ compare
- Følsomhetsanalyse for kausalitetKausal inferens↔ compare
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