Regression modelQuasi-experimental / causal inference
政策评估边际结构模型
政策评估边际结构模型（MSM）是一种因果推断框架，它通过使用逆概率加权来创建一个伪人群，其中处理分配与已测量的混杂因素无关，从而能够从观察性数据中无偏地比较不同政策情景下的潜在结果，以估计政策的人群平均效应。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Robins, J. M., Hernan, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550–560. DOI: 10.1097/00001648-200009000-00011 ↗
- Hernan, M. A., & Robins, J. M. (2020). Causal Inference: What If. Chapman & Hall/CRC. link ↗
如何引用本页
ScholarGate. (2026, June 3). Marginal Structural Model for Policy Evaluation. ScholarGate. https://scholargate.app/zh/causal-inference/policy-evaluation-marginal-structural-model
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.
- 反事实影响评估 (CIE)因果推断↔ compare
- 双重差分法 (Diff-in-Diff)计量经济学↔ compare
- 双重稳健估计（AIPW）因果推断↔ compare
- 逆概率治疗加权法 (IPW / IPTW)因果推断↔ compare
- Marginal Structural Model (MSM)因果推断↔ compare
- 倾向得分加权法 (PSW / IPW)因果推断↔ compare