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Bayesian joint ordinal and survival modeling for breast cancer risk assessment

Autor
Armero, C.; Forné, C.; Rué, M.; Forte, A.; Perpiñán, H.; Gomez, G.; Bare, M.
Tipus d'activitat
Article en revista
Revista
Statistics in medicine
Data de publicació
2016-12-10
Volum
35
Número
28
Pàgina inicial
5267
Pàgina final
5282
DOI
https://doi.org/10.1002/sim.7065 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/104661 Obrir en finestra nova
URL
http://onlinelibrary.wiley.com/doi/10.1002/sim.7065/abstract Obrir en finestra nova
Resum
We propose a joint model to analyze the structure and intensity of the association between longitudinal measurements of an ordinal marker and time to a relevant event. The longitudinal process is defined in terms of a proportional-odds cumulative logit model. Time-to-event is modeled through a left-truncated proportional-hazards model, which incorporates information of the longitudinal marker as well as baseline covariates. Both longitudinal and survival processes are connected by means of a com...
Citació
Armero, C., Forné, C., Rué, M., Forte, A., Perpiñán, H., Gomez, G., Bare, M. Bayesian joint ordinal and survival modeling for breast cancer risk assessment. "Statistics in medicine", 10 Desembre 2016, vol. 35, núm. 28, p. 5267-5282.
Paraules clau
BI-RADS scale, Latent process, Proportional-odds cumulative logit model, left-truncated proportional-hazards model
Grup de recerca
GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica

Participants

  • Armero, Carmen  (autor)
  • Forné, Carles  (autor)
  • Rué, Montserrat  (autor)
  • Forte Deltell, Anabel  (autor)
  • Perpiñán Fabuel, Hèctor  (autor)
  • Gomez Melis, Guadalupe  (autor)
  • Bare Mañas, Maris  (autor)

Arxius