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Mètode de Variables Instrumentals (IV) per a la Inferència Causal×Anàlisi Cost-Eficàcia (ACE)×
CampEconomia de la salutEconomia de la salut
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1990s (modern applications)1984
Autor originalAngrist & Pischke (applied econometrics); rooted in econometric theoryDrummond & Stoddart (Health Economics Research Group, McMaster University)
TipusMethodMethod
Font seminalAngrist, 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 ↗
ÀliesIV, two-stage least squares, TSLS, causal estimationCEA, ICER, Incremental Cost-Effectiveness Ratio
Relacionats35
ResumInstrumental 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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ScholarGateCompara mètodes: Instrumental Variables in Health Research · Cost-Effectiveness Analysis. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare