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Regression modelQuasi-experimental / causal inference

Analiza osetljivosti za kauzalnost

Analiza osetljivosti za kauzalnost procenjuje koliko je kauzalni zaključak robustan na neopaženo zbunjivanje (konfounding). Umesto pretpostavke da su svi konfaunderi kontrolisani, postavlja se pitanje: koliko bi neizmerena varijabla morala biti jaka da bi poništila procenjeni efekat? To je neophodna provera robusnosti nakon svake kvazi-eksperimentalne ili opservacione kauzalne analize.

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Izvori

  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

Kako citirati ovu stranicu

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

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Citirana u

ScholarGateSensitivity Analysis for Causality (Sensitivity Analysis for Hidden Bias in Causal Inference). Preuzeto 2026-06-15 sa https://scholargate.app/sr/causal-inference/sensitivity-analysis-for-causality · Skup podataka: https://doi.org/10.5281/zenodo.20539026