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Regression modelQuasi-experimental / causal inference

Model Struktur Marginal Spatial

Model Struktur Marginal Spatial (Spatial MSM) memperluas model struktur marginal klasik kepada tetapan di mana unit-unit diedarkan secara geografi dan kebergantungan spatial — seperti kesan limpahan kejiranan, pengelompokan, dan kekeliruan spatial — mungkin memesongkan anggaran kausal. Ia menganggarkan kesan kausal pendedahan yang berbeza secara spatial dengan membina pemberat kebarangkalian songsang yang mengambil kira kovariat individu dan lokasi spatial, kemudian memadankan model hasil berwajaran dalam pseudo-populasi yang terhasil.

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Sumber

  1. Robins, J. M., Hernan, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550-560. DOI: 10.1097/00001648-200009000-00011
  2. Schnell, P. M., & Papadogeorgou, G. (2020). Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths. Annals of Applied Statistics, 14(2), 793-816. DOI: 10.1214/20-aoas1377

Cara memetik halaman ini

ScholarGate. (2026, June 3). Spatial Marginal Structural Model with Inverse Probability Weighting. ScholarGate. https://scholargate.app/ms/causal-inference/spatial-marginal-structural-model

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ScholarGateSpatial Marginal Structural Model (Spatial Marginal Structural Model with Inverse Probability Weighting). Dicapai 2026-06-15 daripada https://scholargate.app/ms/causal-inference/spatial-marginal-structural-model · Set data: https://doi.org/10.5281/zenodo.20539026