Regression model
匹配方法（CEM / 最优 / 遗传）
匹配方法是一类因果推断技术，超越了倾向得分匹配，它将处理单元和对照单元与相似的协变量配对，以便可以在平衡样本中读出处理效应。该家族包括粗略精确匹配（Iacus, King & Porro, 2012）、最优匹配和遗传匹配。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Iacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI: 10.1093/pan/mpr013 ↗
- Hansen, B. B. (2004). Full Matching in an Observational Study of Coaching for the SAT. Journal of the American Statistical Association, 99(467), 609-618. DOI: 10.1198/016214504000000647 ↗
如何引用本页
ScholarGate. (2026, June 1). General Matching Methods (CEM / Optimal / Genetic). ScholarGate. https://scholargate.app/zh/causal-inference/matching-methods
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.
- 异质性处理效应（CATE / 元学习器）因果推断↔ compare
- 逆概率治疗加权法 (IPW / IPTW)因果推断↔ compare
- 局部平均处理效应（LATE / CACE）因果推断↔ compare
- 倾向得分匹配研究统计学↔ compare
- 对隐藏偏差的敏感性分析（Rosenbaum 界 / E 值）因果推断↔ compare