Compara mètodes

	Mètode de Variables Instrumentals (IV) per a la Inferència Causal	Model de Cadena de Markov en Economia de la Salut
Camp	Economia de la salut	Economia de la salut
Família	Process / pipeline	Process / pipeline
Any d'origen	1990s (modern applications)	1983
Autor original	Angrist & Pischke (applied econometrics); rooted in econometric theory	Beck & Pauker (medical decision analysis, Massachusetts General Hospital)
Tipus	Method	Method
Font seminal	Angrist, J. D., & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press.	Beck, J. R., & Pauker, S. G. (1983). The Markov Process in Medical Prognosis. Medical Decision Making, 3(4), 419-458.
Àlies	IV, two-stage least squares, TSLS, causal estimation	Markov model, state transition model, cohort simulation
Relacionats	3	5
Resum	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.	A Markov model is a decision-analytic tool that simulates disease progression through defined health states over time, calculating cumulative costs and quality-adjusted life years (QALYs) to enable cost-effectiveness analysis. Developed by Beck and Pauker in 1983, Markov models are now the standard framework for projecting long-term outcomes of health interventions, especially chronic diseases where patients transition between clinical states (treatment response, disease progression, remission, death). Used by health technology assessment bodies and pharmaceutical companies to predict intervention value beyond trial duration.