Regression modelQuasi-experimental / causal inference

Prostorni marginalni strukturni model

Prostorni marginalni strukturni model (Spatial MSM) proširuje klasični marginalni strukturni model na postavke gdje su jedinice geografski raspoređene i prostorne ovisnosti — kao što su susjedski spillovers, klasteriranje i prostorno konfundiranje — mogu iskriviti procjene uzročnosti. Njime se procjenjuju uzročni učinci prostorno promjenjivih izloženosti konstruiranjem inverznih vjerojatnosnih težina koje uzimaju u obzir i individualne kovarijate i prostornu lokaciju, a zatim uklapanjem ponderiranog modela ishoda u rezultirajuću pseudo-populaciju.

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Izvori

  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

Kako citirati ovu stranicu

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

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ScholarGateSpatial Marginal Structural Model (Spatial Marginal Structural Model with Inverse Probability Weighting). Preuzeto 2026-06-15 s https://scholargate.app/hr/causal-inference/spatial-marginal-structural-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026