Porovnať metódy
Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Vážená inverzná pravdepodobnosť panelových dát× | Vážená inverzná pravdepodobnosť liečby (IPW / IPTW)× | |
|---|---|---|
| Odbor | Kauzálna inferencia | Kauzálna inferencia |
| Rodina | Regression model | Regression model |
| Rok vzniku | 2000 | 2000 |
| Tvorca≠ | Robins, Hernan & Brumback | Robins, Hernán & Brumback |
| Typ≠ | Reweighting / causal inference | Causal inference weighting estimator |
| Pôvodný zdroj≠ | Robins, J. M., Hernan, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550-560. DOI ↗ | Robins, J. M., Hernán, M. A., & Brumback, B. (2000). Marginal Structural Models and Causal Inference in Epidemiology. Epidemiology, 11(5), 550-560. DOI ↗ |
| Ďalšie názvy≠ | panel IPW, longitudinal IPW, time-varying IPW, panel IPTW | IPW, IPTW, inverse probability of treatment weighting, marginal structural model weighting |
| Príbuzné | 5 | 5 |
| Zhrnutie≠ | Panel Data Inverse Probability Weighting (panel IPW) estimates the causal effect of a time-varying treatment by reweighting observed units to create a pseudo-population in which treatment is independent of measured confounders at each time point. It extends the cross-sectional IPW framework to longitudinal settings where treatment status and confounders both evolve across multiple periods. | Inverse Probability Weighting is a causal-inference method that assigns each observation a weight equal to the inverse of its probability of receiving the treatment it actually received. Introduced by Robins, Hernán and Brumback (2000) for marginal structural models, it builds a pseudo-population in which treatment is independent of measured confounders, balancing selection bias. |
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