Journal of Health Economics, vol. 30(6), pp. 1280 – 1292. (2011).
Autores: Ildefonso Méndez, José María Abellán Perpiñán, Fernando Ignacio Sánchez Martínez y Jorge Eduardo Martínez Pérez.
This paper presents a novel approach to model health state valuations using inverse probability weighting techniques. Our approach makes no assumption on the distribution of health state values, accommodates covariates in a flexible way, eschews parametric assumptions on the relationship between the outcome and the covariates, allows for an undetermined amount of heterogeneity in the estimates and it formally tests and corrects for sample selection biases.Continuar leyendo «Inverse probability weighted estimation of social tariffs: an illustration using the SF-6D value sets.»