Regression modelRegression / GLM

Robusna Poasonova regresija

Robusna Poasonova regresija prilagođava Poasonov log-linearni model binarnom ishodu, ali zameњuje modelski zasnovanu varijansu empirijskim „sandvič“ oceњivačem. Ovo daje vaљane standardne greške i koeficijente rizika, čak i kada su Poasonove pretpostavke o varijansi tehnički prekršene za binarne podatke. Pristup, koji je popularizovao Zou (2004), široko se koristi u epidemiologiji kao numerički stabilna alternativa log-binomnoj regresiji.

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Izvori

  1. Zou, G. (2004). A modified Poisson regression approach to prospective studies with binary data. American Journal of Epidemiology, 159(7), 702-706. DOI: 10.1093/aje/kwh090
  2. Zou, G. Y., & Donner, A. (2013). Extension of the modified Poisson regression model to prospective studies with binary data: why it is simpler than it sounds. Journal of Clinical Epidemiology, 66(9), 1023-1028. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Robust Poisson Regression with Sandwich Variance Estimator. ScholarGate. https://scholargate.app/sr/statistics/robust-poisson-regression

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ScholarGateRobust Poisson Regression (Robust Poisson Regression with Sandwich Variance Estimator). Preuzeto 2026-06-15 sa https://scholargate.app/sr/statistics/robust-poisson-regression · Skup podataka: https://doi.org/10.5281/zenodo.20539026