title: Survival models for cost data: the forgotten additive approach.
abstract: The usage of the Aalen additive approach is proposed to model cost data. Using a Monte Carlo simulation, in a wide set of scenarios, we showed that the Aalen model is performing well and can be a reasonable alternative to the standard Gamma regression models. In addition, with reference to the COSTAMI trial data, we highlighted the ability of the Aalen model to offer additional information about the relationships between costs and specific covariates, as compared with standard regression techniques.
authors.affiliation: Unit of Cancer Epidemiology, University of Turin, CERMS and CPO-Piemonte, Italy. evapagano@yahoo.com
authors.forename: Eva
authors.initials: E
authors.lastname: Pagano
authors.forename: Michele
authors.initials: M
authors.lastname: Petrinco
authors.forename: Alessandro
authors.initials: A
authors.lastname: Desideri
authors.forename: Riccardo
authors.initials: R
authors.lastname: Bigi
authors.forename: Franco
authors.initials: F
authors.lastname: Merletti
authors.forename: Dario
authors.initials: D
authors.lastname: Gregori
mesh_terms: D003365:Costs and Cost Analysis / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D009203:Myocardial Infarction / Q000191:economics; D016019:Survival Analysis