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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Analiza e ndjeshmërisë ndaj ndikimit të fshehur (Kufijtë e Rosenbaum / Vlera E)×Efekti mesatar lokal i trajtimit (LATE / CACE)×
FushaInferenca kauzaleInferenca kauzale
FamiljaRegression modelRegression model
Viti i origjinës20021994
KrijuesiPaul R. Rosenbaum (bounds); Tyler J. VanderWeele & Peng Ding (E-value)Imbens & Angrist (1994); Angrist, Imbens & Rubin (1996)
LlojiSensitivity analysis for causal inferenceInstrumental-variable causal estimand
Burimi themeluesRosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. ISBN: 978-0387989679Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗
Emërtime të tjeraRosenbaum bounds, E-value, hidden bias sensitivity analysis, unmeasured confounding sensitivityLATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE)
Të lidhura55
PërmbledhjaSensitivity analysis for hidden bias is a family of methods that quantify how strongly an unmeasured confounder would have to operate before it could overturn a causal conclusion drawn from observational data. It was crystallised by Paul Rosenbaum's sensitivity bounds (2002) and extended by VanderWeele and Ding's E-value (2017).The Local Average Treatment Effect is an instrumental-variable estimand, introduced by Imbens and Angrist (1994) and formalised with Rubin (1996), that recovers the average treatment effect for the subpopulation of compliers — units whose treatment status is actually moved by the instrument. It is closely tied to compliance analysis.
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ScholarGateKrahasoni metodat: Sensitivity Analysis for Unmeasured Confounding · Local Average Treatment Effect. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare