Flexible parametric modelling of the hazard function in breast cancer studies

DOI10.1080/02664763.2011.650685zbMath1250.62054OpenAlexW1979290691WikidataQ61851593 ScholiaQ61851593MaRDI QIDQ3168248

Patrizia Boracchi, I. Ardoino, C. D. Bajdik, Paulo J. G. Lisboa, E. M. Biganzoli, Federico Ambrogi

Publication date: 30 October 2012

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2011.650685

zbMATH Keywords

splinesgamma distributionaccelerated failure timeadditive modelpiecewise exponential model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (1)

A family of density-hazard distributions for insurance losses

Uses Software

• invGauss

Cites Work

• Unnamed Item
• Joint modelling of cause-specific hazard functions with cubic splines: an application to a large series of breast cancer patients
• Smoothing counting process intensities by means of kernel functions
• Dynamic regression models for survival data.
• A log gamma model and its maximum likelihood estimation
• A partly parametric additive risk model
• Hazard Function Estimation Using B-Splines
• A Generalization of the Gamma Distribution

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