carmen_5Carmen Armero       ||||       

Departament d’Estadística i Investigació Operativa       

Universitat de València, Spain



València Research

  Group, VABAR



Bayesian hierarchical models; Bayesian survival analysis;

Longitudinal data; Joint models of longitudinal and survival

data; Hidden Markov models.



          CV Complet




. C. Armero, S. Cabras, M.E. Castellanos, S. Perra, A. Quirós, M.J. Oruezábal and J. Sánchez-Rubio (2016). Bayesian analysis of a disability model for lung

 cancer survival. Statistical Methods in Medical Research, 25(1): 336-351. 

. C. Armero, C. Forné, M. Rué, A. Forte, H. Perpiñán, G. Gómez-Melis, and M. Baré (2016). Bayesian joint ordinal and survival modeling for breast cáncer

 risk assessment. Statistics in Medicine, 35(28):5267-5282.

. M. Rué, R. Andrinopoulou, D. Alvares, C. Armero, A. Forte, and Ll. Blanch (2017). Bayesian joint modeling of bivariate longitudinal and competing risks

data: An application to study patient-ventilator asynchronies in critical care patients. Biometrical Journal, 59(6):1184-1203. 

. D. Alvares, C. Armero, and A. Forte (2018) What does objective mean in a Dirichlet-multinomial framework? International Statistical  Review, 86(1):106-118.

. C. Armero, A. Forte, H. Perpiñán, M.J. Sanahuja and S. Agustí (2018) Bayesian joint modeling for assessing the progression of Chronic  Kidney  Disease in

children. Statistical Methods in Medical Research, 27(1):298-311.  

. C. Armero, S. Cabras, M.E. Castellanos, and A. Quirós (2018). Two-stage Bayesian approach for GWAS with known genealogy.  Journal  of Computational

and Graphical  Statistics, DOI: 10.1080/10618600.2018.1483828.

. E. Lázaro, C. Armero, and V. Gómez-Rubio (2018). Approximate Bayesian inference for mixture cure models. arXiv preprint arXiv:1806.09362