Flexible Parametric Modelling of the Hazard Function in Breast Cancer Studies
Contributo in Atti di convegno
Data di Pubblicazione:
2010
Citazione:
Flexible Parametric Modelling of the Hazard Function in Breast Cancer Studies / I. Ardoino, F. Ambrogi, C. Bajdik, P.J. Lisboa, E.M. Biganzoli, P. Boracchi - In: Proceedings of the 2010 IEEE World Congress on Computational Intelligence (IEEE WCCI 2010) / [a cura di] J. Aranda, S. Xambò. - [s.l] : IEEE, 2010. - ISBN 9781424481262. - pp. 2018-2022 (( convegno IEEE World Congress on Computational Intelligence (IEEE WCCI) tenutosi a Barcelona nel 2010 [10.1109/IJCNN.2010.5596297].
Abstract:
In cancer research, study of the hazard function
provides useful information on the disease dynamic, in addition to the identification of prognostic factors.
The widely utilized Cox proportional hazard model uses
a stepwise nonparametric estimator for the baseline hazard
function. Therefore the use of parametric models and/or other approaches to estimate the hazard function is often invoked.
A recent work by C. Cox and colleagues [1] has stimulated
the use of a complex and flexible parametric model based on the General Gamma distribution, supported by the development of optimization software.
Use of the General Gamma to study the shape of the hazard
function is investigated. As a benchmark, the flexible approach based on piecewise exponential model and a nonparametric kernel estimate are considered. An example based on breast cancer survival is used to illustrate the main findings.
Tipologia IRIS:
03 - Contributo in volume
Elenco autori:
I. Ardoino, F. Ambrogi, C. Bajdik, P.J. Lisboa, E.M. Biganzoli, P. Boracchi
Link alla scheda completa:
Titolo del libro:
Proceedings of the 2010 IEEE World Congress on Computational Intelligence (IEEE WCCI 2010)