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인과 추론을 위한 도구 변수(IV) 방법×비용효과 분석 (CEA)×
분야보건경제학보건경제학
계열Process / pipelineProcess / pipeline
기원 연도1990s (modern applications)1984
창시자Angrist & Pischke (applied econometrics); rooted in econometric theoryDrummond & Stoddart (Health Economics Research Group, McMaster University)
유형MethodMethod
원전Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. link ↗Gold, M. R., Siegel, J. E., Russell, L. B., & Weinstein, M. C. (Eds.). (1996). Cost-Effectiveness in Health and Medicine. New York: Oxford University Press. link ↗
별칭IV, two-stage least squares, TSLS, causal estimationCEA, ICER, Incremental Cost-Effectiveness Ratio
관련35
요약Instrumental 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.Cost-effectiveness analysis compares the incremental cost per unit of health benefit gained by one intervention relative to a comparator (standard care or best alternative). Developed rigorously in the 1980s by Drummond, Stoddart, and colleagues, CEA is now the standard framework for technology appraisal globally. NICE, HAS, CADTH, and other health technology assessment bodies use CEA to decide which treatments warrant public funding and at what price.
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ScholarGate방법 비교: Instrumental Variables in Health Research · Cost-Effectiveness Analysis. 2026-06-19에 다음에서 검색함: https://scholargate.app/ko/compare