ScholarGate
Msaidizi
Regression modelQuasi-experimental / causal inference

Uzani wa Athari ya Matibabu Tofauti (HTE-IPW)

HTE-IPW inapanua uzani wa kawaida wa uwezekano wa kurejesha jinsi athari za kisababishi zinavyotofautiana kulingana na vikundi au maadili ya kigezo. Kwa kuongeza uzani kila uchunguzi kwa kinyume cha uwezekano wake wa matibabu uliokadiriwa, njia hiyo huunda idadi ya watu bandia ambayo ndani yake matibabu haitegemei sifa za asili, na kisha hukadiria athari za wastani za matibabu zilizo na masharti (CATEs) kama kazi ya sifa hizo.

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Vyanzo

  1. Hirano, K., Imbens, G. W., & Ridder, G. (2003). Efficient estimation of average treatment effects using the estimated propensity score. Econometrica, 71(4), 1161-1189. DOI: 10.1111/1468-0262.00442
  2. Abrevaya, J., Hsu, Y.-C., & Lieli, R. P. (2015). Estimating conditional average treatment effects. Journal of Business and Economic Statistics, 33(4), 485-505. DOI: 10.1080/07350015.2014.975555

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Heterogeneous Treatment Effect Estimation via Inverse Probability Weighting. ScholarGate. https://scholargate.app/sw/causal-inference/heterogeneous-treatment-effect-inverse-probability-weighting

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ScholarGateHeterogeneous Treatment Effect Inverse Probability Weighting (Heterogeneous Treatment Effect Estimation via Inverse Probability Weighting). Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/causal-inference/heterogeneous-treatment-effect-inverse-probability-weighting · Seti ya data: https://doi.org/10.5281/zenodo.20539026