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Regression modelQuasi-experimental / causal inference

Uchambuzi wa Hisia kwa Uhalali

Uchambuzi wa hisia kwa uhalali hutathmini jinsi hitimisho la uhalali linavyodumu dhidi ya uchafuzi usioonekana. Badala ya kudhani kuwa wachafuzi wote wamezuiliwa, huuliza: ni lazima badiliko lisiloonekana liwe na nguvu kiasi gani ili kubatilisha athari iliyokadiriwa? Ni hundi muhimu ya uimara baada ya uchambuzi wowote wa uhalali wa karibu-kimaabara au wa uchunguzi.

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Vyanzo

  1. Rosenbaum, P. R. (2002). Observational Studies (2nd ed.). Springer. ISBN: 978-0387989679
  2. Cinelli, C., & Hazlett, C. (2020). Making sense of sensitivity: Extending omitted variable bias. Journal of the Royal Statistical Society: Series B, 82(1), 39-67. DOI: 10.1111/rssb.12348

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Sensitivity Analysis for Hidden Bias in Causal Inference. ScholarGate. https://scholargate.app/sw/causal-inference/sensitivity-analysis-for-causality

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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.

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Imerejelewa na

ScholarGateSensitivity Analysis for Causality (Sensitivity Analysis for Hidden Bias in Causal Inference). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/sensitivity-analysis-for-causality · Seti ya data: https://doi.org/10.5281/zenodo.20539026