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Regression modelQuasi-experimental / causal inference

Bayesiansk entropibalansering

Bayesiansk entropibalansering utvider den klassiske entropibalanseringsmetoden – som omveier kontrollenheter slik at deres kovariatmomenter nøyaktig samsvarer med den behandlede gruppen – ved å innlemme denne omveiingen i et Bayesiansk rammeverk. Dette gjør det mulig for forskere å inkludere tidligere antakelser om behandlingstilbøyeligheter, forplante parameterusikkerhet inn i det endelige kausale estimatet, og oppnå credible intervals snarere enn bare klassiske konfidensintervaller.

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Kilder

  1. Hainmueller, J. (2012). Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies. Political Analysis, 20(1), 25-46. DOI: 10.1093/pan/mpr025
  2. Vegetabile, B. G., Griffin, B. A., Coffman, D. L., Cefalu, M., Robbins, M. W., & McCaffrey, D. F. (2021). Nonparametric estimation of population average dose-response curves using entropy balancing weights for continuous exposures. Health Services and Outcomes Research Methodology, 21(1), 69-110. DOI: 10.1007/s10742-020-00236-2

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ScholarGate. (2026, June 3). Bayesian Entropy Balancing for Causal Inference. ScholarGate. https://scholargate.app/no/causal-inference/bayesian-entropy-balancing

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ScholarGateBayesian Entropy Balancing (Bayesian Entropy Balancing for Causal Inference). Hentet 2026-06-15 fra https://scholargate.app/no/causal-inference/bayesian-entropy-balancing · Datasett: https://doi.org/10.5281/zenodo.20539026