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Regression modelQuasi-experimental / causal inference

Anggaran Keboleh-kukuhan Ganda Angkasa

Anggaran keboleh-kukuhan ganda angkasa ialah kaedah inferens sebab-akibat separa-parametik yang menggabungkan pemberatan skor kecenderungan dengan pemodelan regresi hasil — memberikan perlindungan terhadap kesilapan spesifikasi mana-mana komponen — sambil secara eksplisit mengambil kira autokorelasi angkasa antara unit. Ia melanjutkan anggaran pemberatan songsangan kebarangkalian teraugmented (AIPW) klasik kepada tetapan di mana tugasan rawatan dan hasil dikelompokkan secara geografi atau bergantung pada angkasa.

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Sumber

  1. Papadogeorgou, G., Mealli, F., & Zigler, C. M. (2019). Causal inference with interfering units for cluster and population level treatment allocation programs. Biometrics, 75(3), 778-787. DOI: 10.1111/biom.13049
  2. Kennedy, E. H. (2016). Semiparametric theory and empirical processes in causal inference. In H. He, P. Wu, & D.-G. Chen (Eds.), Statistical Causal Inferences and Their Applications in Public Health Research (pp. 141-167). Springer. link

Cara memetik halaman ini

ScholarGate. (2026, June 3). Spatial Doubly Robust Causal Estimation. ScholarGate. https://scholargate.app/ms/causal-inference/spatial-doubly-robust-estimation

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ScholarGateSpatial Doubly Robust Estimation (Spatial Doubly Robust Causal Estimation). Dicapai 2026-06-15 daripada https://scholargate.app/ms/causal-inference/spatial-doubly-robust-estimation · Set data: https://doi.org/10.5281/zenodo.20539026