Regression modelQuasi-experimental / causal inference

Robusni marginalni strukturni model

Robusni marginalni strukturni modeli (robustni MSM) proširuju standardni okvir MSM-a — koji koristi inverznu vjerojatnost ponderiranja tretmana za rješavanje vremenski promjenjivog zbunjivanja — uparivanjem IPTW procjene sa sendvič (robustnim) standardnim pogreškama ili dvostruko robusnim procjeniteljima. Ova kombinacija daje valjane uzročne procjene i pouzdanu inferenciju čak i kada je model regresije ishoda blago pogrešno specificiran ili su ponderi umjereno varijabilni.

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Izvori

  1. Robins, J. M., Hernán, 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. Hernán, M. A., & Robins, J. M. (2020). Causal Inference: What If. Chapman & Hall/CRC. link

Kako citirati ovu stranicu

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

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