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G-arvutamine (Parametriline G-valem)

G-arvutamine on kaudse järelduse meetod, mille abil hinnatakse vaatlusandmetest sekkumise või ravi mõju tulemusele. James M. Robins'i poolt 1986. aastal välja töötatud meetod pakub parametrilist standardimise lähenemist, mis suudab käsitleda ajas muutuvate kokkupuuteid ja segajaid. Meetod hindab, millised oleksid populatsiooni tulemused erinevate sekkumisstenaariumide korral, kasutades selleks sobivaid tulemusmudeleid.

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Allikad

  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

Kuidas sellele lehele viidata

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

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Sellele viitavad

ScholarGateG-Computation (G-Computation (Parametric G-formula)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/causal-inference/g-computation · Andmestik: https://doi.org/10.5281/zenodo.20539026