השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| משקולות הסתברות הפוכה לנתוני פאנל× | שקלול ציון הנטייה (PSW / IPW)× | |
|---|---|---|
| תחום | הסקה סיבתית | הסקה סיבתית |
| משפחה | Regression model | Regression model |
| שנת המקור≠ | 2000 | 1983 (propensity score); 2003 (efficient IPW estimator) |
| הוגה השיטה≠ | Robins, Hernan & Brumback | Rosenbaum & Rubin (propensity score); Hirano, Imbens & Ridder (efficient weighting) |
| סוג≠ | Reweighting / causal inference | Causal inference / reweighting |
| מקור מכונן≠ | Robins, J. M., Hernan, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11(5), 550-560. 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 ↗ |
| כינויים | panel IPW, longitudinal IPW, time-varying IPW, panel IPTW | PSW, inverse probability weighting, IPW, propensity-based weighting |
| קשורות≠ | 5 | 6 |
| תקציר≠ | 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. | 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). |
| ScholarGateמערך נתונים ↗ |
|
|