title: Bayesian analysis of a disability model for lung cancer survival.
abstract: Bayesian reasoning, survival analysis and multi-state models are used to assess survival times for Stage IV non-small-cell lung cancer patients and the evolution of the disease over time. Bayesian estimation is done using minimum informative priors for the Weibull regression survival model, leading to an automatic inferential procedure. Markov chain Monte Carlo methods have been used for approximating posterior distributions and the Bayesian information criterion has been considered for covariate selection. In particular, the posterior distribution of the transition probabilities, resulting from the multi-state model, constitutes a very interesting tool which could be useful to help oncologists and patients make efficient and effective decisions.
authors: Departament d'Estadística i Investigació Operativa, Universitat de València, Spain.
authors: C
authors: C
authors: Armero
authors: Dipartimento di Matematica e Informatica, Universitá degli Studi di Cagliari, Italy Departamento de Estadística, Universidad Carlos III de Madrid, Spain.
authors: S
authors: S
authors: Cabras
authors: Departamento de Estadística e Investigación Operativa, Universidad Rey Juan Carlos, Spain.
authors: M E
authors: ME
authors: Castellanos
authors: Dipartimento di Matematica e Informatica, Universitá degli Studi di Cagliari, Italy.
authors: S
authors: S
authors: Perra
authors: Departamento de Teoría de la Señal y Comunicaciones, Universidad Rey Juan Carlos, Spain alicia.quiros@urjc.es.
authors: A
authors: A
authors: Quirós
authors: Unidad Onco-Hematológica, Hospital Universitario Infanta Cristina de Madrid, Spain Servicio Oncología Médica, Hospital Rey Juan Carlos, Spain.
authors: M J
authors: MJ
authors: Oruezábal
authors: Servicio de Farmacia, Hospital Universitario Infanta Cristina de Madrid, Spain.
authors: J
authors: J
authors: Sánchez-Rubio
mesh_terms: D001499:Bayes Theorem; D056808:Biostatistics; D002289:Carcinoma, Non-Small-Cell Lung / Q000401:mortality* / Q000473:pathology; D006801:Humans; D008175:Lung Neoplasms / Q000401:mortality* / Q000473:pathology; D008390:Markov Chains; D009010:Monte Carlo Method; D009367:Neoplasm Staging; D012044:Regression Analysis; D016019:Survival Analysis