ScholarGate
Msaidizi
Regression modelQuasi-experimental / causal inference

Uchambuzi wa Athari za Kimajukumu za Kisababishi zenye Tofauti

Uchambuzi wa athari za kimajukumu za kisababishi zenye tofauti huongeza mfumo wa athari za kisababishi wa mfululizo wa muda wa kimuundo wa Bayesian ili kukadiria si tu athari ya wastani ya uingiliaji kati bali pia jinsi athari hiyo inavyotofautiana katika vikundi vidogo au vitengo binafsi. Kwa kuchanganya utabiri wa kinyume na ukadiriaji wa athari ya wastani ya matibabu yenye masharti (CATE), unafunua ni vikundi gani vinavyofaidika zaidi au kidogo kutokana na uingiliaji kati.

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Vyanzo

  1. Brodersen, K. H., Gallusser, F., Koehler, J., Remy, N., & Scott, S. L. (2015). Inferring causal impact using Bayesian structural time-series models. Annals of Applied Statistics, 9(1), 247-274. DOI: 10.1214/14-AOAS788
  2. Athey, S., & Imbens, G. (2016). Recursive partitioning for heterogeneous causal effects. Proceedings of the National Academy of Sciences, 113(27), 7353-7360. DOI: 10.1073/pnas.1510489113

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Heterogeneous Treatment Effect Causal Impact Analysis. ScholarGate. https://scholargate.app/sw/causal-inference/heterogeneous-treatment-effect-causal-impact-analysis

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ScholarGateHeterogeneous treatment effect Causal impact analysis (Heterogeneous Treatment Effect Causal Impact Analysis). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/causal-inference/heterogeneous-treatment-effect-causal-impact-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026