เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การถ่วงน้ำหนักด้วยคะแนนแนวโน้มสำหรับข้อมูลแผง× | การถ่วงน้ำหนักด้วยคะแนนแนวโน้ม (Propensity Score Weighting - PSW / IPW)× | |
|---|---|---|
| สาขาวิชา | การอนุมานเชิงสาเหตุ | การอนุมานเชิงสาเหตุ |
| ตระกูล | Regression model | Regression model |
| ปีกำเนิด≠ | 2000-2003 | 1983 (propensity score); 2003 (efficient IPW estimator) |
| ผู้ริเริ่ม≠ | Hirano, Imbens & Ridder; Robins, Hernan & Brumback | Rosenbaum & Rubin (propensity score); Hirano, Imbens & Ridder (efficient weighting) |
| ประเภท≠ | Causal inference / panel weighting | Causal inference / reweighting |
| แหล่งต้นตำรับ≠ | Hirano, K., Imbens, G. W., & Ridder, G. (2003). Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica, 71(4), 1161-1189. DOI ↗ | Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. DOI ↗ |
| ชื่อเรียกอื่น | panel PSW, panel IPW, longitudinal propensity score weighting, panel inverse probability weighting | PSW, inverse probability weighting, IPW, propensity-based weighting |
| ที่เกี่ยวข้อง≠ | 5 | 6 |
| สรุป≠ | Panel Data Propensity Score Weighting (panel PSW) extends inverse probability weighting to longitudinal settings where the same units are observed across multiple time periods. It reweights observations by the inverse of each unit's time-varying probability of receiving treatment, creating a pseudo-population in which treatment is balanced on observed covariates at each period, and then estimates causal effects from repeated-measures data. | Propensity score weighting is a causal-inference method that reweights observations so that the covariate distributions of treated and untreated units look exchangeable, enabling unbiased estimation of average treatment effects from observational data. Each unit receives a weight that is the inverse of its probability of receiving the treatment it actually received — a strategy formalised by Rosenbaum and Rubin (1983) and given its efficient semiparametric form by Hirano, Imbens and Ridder (2003). |
| ScholarGateชุดข้อมูล ↗ |
|
|