Regression modelRegression / GLM
稳健泊松回归
稳健泊松回归拟合泊松对数线性模型以处理二元结局，但用经验三明治估计量替换模型内设方差。这可产生有效的标准误和风险比，即使泊松方差假设在技术上对二元数据而言被违反。该方法由 Zou (2004) 推广，在流行病学中被广泛用作对数二项回归的数值稳定替代方案。
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来源
- 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 ↗
- 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 ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Poisson Regression with Sandwich Variance Estimator. ScholarGate. https://scholargate.app/zh/statistics/robust-poisson-regression
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 广义线性模型 (GLM)统计学↔ compare
- 逻辑回归研究统计学↔ compare
- 负二项回归计量经济学↔ compare
- 泊松回归与负二项回归计量经济学↔ compare
- 稳健回归统计学↔ compare