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Regression modelQuasi-experimental / causal inference

Mfumo wa Kimahesabu wa Kimahesabu wa Kimahesabu

Mfumo wa Kimahesabu wa Kimahesabu (Spatial MSM) unapanua mfumo wa kimahesabu wa kawaida kwa mazingira ambapo vipengele viko katika maeneo ya kijiografia na utegemezi wa kimahesabu - kama vile kuenea kwa maeneo ya jirani, kuunganishwa, na uchanganyaji wa kimahesabu - kunaweza kupotosha makadirio ya kisababishi. Unakadiria athari za kisababishi za maambukizi yanayotofautiana kimahesabu kwa kuunda uzani wa uwezekano wa kinyume ambao unazingatia vigezo vya mtu binafsi na eneo la kimahesabu, kisha kuunganisha mfumo wa matokeo yenye uzani katika idadi ya watu bandia inayotokana.

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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ScholarGateSpatial Marginal Structural Model (Spatial Marginal Structural Model with Inverse Probability Weighting). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/spatial-marginal-structural-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026