Longer follow-up for various kinds of cancer, particularly breast cancer, has made it possible the observation of complex forms of the hazard function of occurrence of metastasis and death. In several studies a bimodal hazard function was obtained, with a possible interpretation in the context of tumor dormancy. The shape of the hazard function is usually estimated by spline regression functions. In the case of breast cancer, no general agreement is obtained on the presence of a complex behavior. This may depend on the properties of the smoothing function adopted. We evaluate through simulations of a bimodal hazard function the effectiveness of the piecewise exponential model in the correct identification of the shape, using different types of regression models: the cubic splines with and without constraints of linearity in the tails and the P-splines of degree 0 and second order penalty.

Evaluation of flexible regression for non-unimodal hazard functions / M. Fornili, P. Boracchi, F. Ambrogi, E. Biganzoli. - [s.l] : Berkley Electronic Press, 2011 Apr.

Evaluation of flexible regression for non-unimodal hazard functions

M. Fornili;P. Boracchi;F. Ambrogi;E. Biganzoli
2011-04

Abstract

Longer follow-up for various kinds of cancer, particularly breast cancer, has made it possible the observation of complex forms of the hazard function of occurrence of metastasis and death. In several studies a bimodal hazard function was obtained, with a possible interpretation in the context of tumor dormancy. The shape of the hazard function is usually estimated by spline regression functions. In the case of breast cancer, no general agreement is obtained on the presence of a complex behavior. This may depend on the properties of the smoothing function adopted. We evaluate through simulations of a bimodal hazard function the effectiveness of the piecewise exponential model in the correct identification of the shape, using different types of regression models: the cubic splines with and without constraints of linearity in the tails and the P-splines of degree 0 and second order penalty.
Settore MED/01 - Statistica Medica
http://biostats.bepress.com/cobra/ps/art78
Working Paper
Evaluation of flexible regression for non-unimodal hazard functions / M. Fornili, P. Boracchi, F. Ambrogi, E. Biganzoli. - [s.l] : Berkley Electronic Press, 2011 Apr.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/168287
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