Regression modelCausal

G-komputacija (Parametarska G-formula)

G-komputacija je metoda kauzalnog zaključivanja za procenu efekta intervencije ili tretmana na ishod iz opservacionih podataka. Razvijena od strane Jamesa M. Robinsa 1986. godine, ona pruža parametarski pristup standardizaciji koji može da obradi vremenski promenljive ekspozicije i konfaundere. Metoda procenjuje kakav bi bio ishod populacije pod različitim scenarijima intervencije korišćenjem fitovanih modela ishoda.

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Izvori

  1. Robins, J. M. (1986). A new approach to causal inference in mortality studies with sustained exposure periods: application to control of the healthy worker survivor effect. Mathematical Modelling, 7(9-12), 1393-1512. DOI: 10.1016/0270-0255(86)90088-6
  2. Taubman, S. L., Robins, J. M., Mittleman, M. A., & Hernán, M. A. (2009). Intervening on risk factors for coronary heart disease: an application of the parametric g-formula. International Journal of Epidemiology, 38(6), 1599-1611. DOI: 10.1093/ije/dyp192
  3. Ahern, J., Hubbard, A., & Galea, S. (2009). Estimating the effects of potential public health interventions on population disease burden: a step-by-step illustration of causal inference methods. American Journal of Epidemiology, 169(9), 1140-1147. DOI: 10.1093/aje/kwp015

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). G-Computation (Parametric G-formula). ScholarGate. https://scholargate.app/sr/causal-inference/g-computation

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ScholarGateG-Computation (G-Computation (Parametric G-formula)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/causal-inference/g-computation · Skup podataka: https://doi.org/10.5281/zenodo.20539026