Regression modelQuasi-experimental / causal inference
多期中断时间序列
多期中断时间序列（MITS）将经典的ITS框架扩展到在同一序列中已知时间点发生两次或多次干预的情况。通过拟合具有多个断点的分段回归，MITS在控制潜在的长期趋势和早期中断效应的同时，估计归因于每次干预的水平变化和斜率变化。
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来源
- Kontopantelis, E., Doran, T., Springate, D. A., Buchan, I., & Reeves, D. (2015). Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis. BMJ, 350, h2750. DOI: 10.1136/bmj.h2750 ↗
- Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI: 10.1093/ije/dyw098 ↗
如何引用本页
ScholarGate. (2026, June 3). Multi-period Interrupted Time Series Analysis. ScholarGate. https://scholargate.app/zh/causal-inference/multi-period-interrupted-time-series
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- 双重差分法 (Diff-in-Diff)计量经济学↔ 比较
- 动态中断时间序列因果推断↔ 比较
- 中断时间序列（ITS）分析因果推断↔ 比较
- 面板数据中断时间序列因果推断↔ 比较
- 面板事件研究因果推断↔ 比较
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