TY - JOUR T1 - Application of two-part models and Cholesky decomposition to incorporate covariate-adjusted utilities in probabilistic cost-effectiveness models JO - Gaceta Sanitaria T2 - AU - Arrospide,Arantzazu AU - Ramos-Goñi,Juan Manuel AU - Pechlivanoglou,Petros AU - Mar,Javier SN - 02139111 M3 - 10.1016/j.gaceta.2018.09.003 DO - 10.1016/j.gaceta.2018.09.003 UR - https://gacetasanitaria.org/es-application-two-part-models-cholesky-decomposition-articulo-S0213911118302346 AB - This study aimed to explain a joint statistical procedure (two-part models and Cholesky decomposition) to incorporate second-order uncertainty from covariate adjusted mean utility functions in probabilistic cost-effectiveness models. First, two-part models were applied to obtain parameters for the utility function. Second, a new set of correlated parameters for each simulation was obtained by Cholesky decomposition. The procedure was applied to EuroQol5D-5L in the Spanish Health Survey (21,007 adults). An example for the first simulation showed that 71% of men aged 60 years, high social status and normal weight were in perfect health, and in those not in perfect health, the expected utility was 0.8474 (= 1 − 0.1526). Therefore, their estimated mean utility value was 0.9559. Mean utility values in the interval (− ∞1] were calculated and their associated uncertainty incorporated in the cost-effectiveness models, based on the uncertainty related to correlated parameters in the utilities function. ER -