Regression modelQuasi-experimental / causal inference
稳健边际结构模型
稳健边际结构模型（robust MSMs）扩展了标准的MSM框架——该框架使用处理效应逆概率加权来处理时变混淆——通过将IPTW估计与sandwich（稳健）标准误或双重稳健估计量相结合。这种组合即使在结局回归模型轻微误设或权重中度可变的情况下，也能产生有效的因果估计和可靠的推断。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Robins, J. M., Hernán, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550-560. DOI: 10.1097/00001648-200009000-00011 ↗
- Hernán, M. A., & Robins, J. M. (2020). Causal Inference: What If. Chapman & Hall/CRC. link ↗
如何引用本页
ScholarGate. (2026, June 3). Robust Marginal Structural Model with Stabilized Inverse Probability Weighting. ScholarGate. https://scholargate.app/zh/causal-inference/robust-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.
- 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
- 面板数据边际结构模型 (MSM)因果推断↔ compare
- 倾向得分加权法 (PSW / IPW)因果推断↔ compare