Сравнение на методи
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| Метод на инструменталните променливи (IV) за причинно-следствен анализ× | Моделиране чрез анализ на решенията в здравната икономика× | |
|---|---|---|
| Област | Икономика на здравеопазването | Икономика на здравеопазването |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1990s (modern applications) | 1975 |
| Създател≠ | Angrist & Pischke (applied econometrics); rooted in econometric theory | Pauker & Kassirer (medical decision analysis, Massachusetts General Hospital) |
| Тип | Method | Method |
| Основополагащ източник≠ | Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. link ↗ | Pauker, S. G., & Kassirer, J. P. (1975). Therapeutic Decision Making: A Cost-Benefit Analysis. New England Journal of Medicine, 293(5), 229-234. DOI ↗ |
| Други названия | IV, two-stage least squares, TSLS, causal estimation | decision analysis, decision tree, decision model, health economic model |
| Свързани≠ | 3 | 5 |
| Резюме≠ | Instrumental variables (IV) is an econometric method to estimate causal effects when treatment or exposure is not randomly assigned and confounding is severe or unmeasured. IV relies on a third variable (instrument) that influences treatment but does not directly affect the outcome, allowing researchers to isolate the causal effect from the noise of confounding. Developed extensively in econometrics (Angrist & Pischke, 1990s–2000s), IV methods are increasingly used in health economics and health services research to leverage natural experiments and policy changes. | Decision analytic modeling is a systematic framework for comparing health interventions by integrating evidence on probabilities, outcomes, costs, and patient preferences into a quantitative model. Developed by Pauker and Kassirer in 1975, decision analysis structures clinical uncertainty and economic trade-offs, enabling transparent comparison of treatment options and identification of optimal strategies. Used in health technology assessment, clinical practice guideline development, and resource allocation decisions. |
| ScholarGateНабор от данни ↗ |
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