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Regression modelQuasi-experimental / causal inference

Model Struktural Marginal Spasial

Model Struktural Marginal Spasial (Spatial MSM) memperluas model struktural marginal klasik ke pengaturan di mana unit-unit terdistribusi secara geografis dan dependensi spasial — seperti efek tular lingkungan sekitar, pengelompokan, dan pengacauan spasial — dapat membiaskan estimasi kausal. Model ini mengestimasi efek kausal dari paparan yang bervariasi secara spasial dengan mengkonstruksi bobot probabilitas invers yang memperhitungkan kovariat individu dan lokasi spasial, kemudian menyesuaikan model hasil tertimbang dalam populasi semu yang dihasilkan.

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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 menyitasi halaman ini

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

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