Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Regularized Bidimensional Estimation of the Hazard Rate

Abstract : In epidemiological or demographic studies, with variable age at onset, a typical quantity of interest is the incidence of a disease (for example the cancer incidence). In these studies, the data are usually reported in the form of registers which contain the number of observed cases and the number of individuals at risk to contract the disease. These data are usually highly heterogeneous in terms of dates of birth (the cohort) and with respect to the calendar time (the period) and appropriate estimation methods are needed. In this article a new estimation method is presented which extends classical age-period-cohort analysis by allowing interactions between age, period and cohort effects. In order to take into account possible overfitting issues, a penalty is introduced on the likelihood of the model. This penalty can be designed either to smooth the hazard rate or to enforce consecutive values of the hazards to be equal, leading to a parsimonious representation of the hazard rate. The method is evaluated on simulated data and applied on the E3N cohort data of breast cancer.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download
Contributor : Vivien Goepp <>
Submitted on : Friday, November 16, 2018 - 4:32:15 PM
Last modification on : Friday, December 4, 2020 - 11:58:02 AM
Long-term archiving on: : Sunday, February 17, 2019 - 3:49:21 PM


  • HAL Id : hal-01662197, version 3
  • ARXIV : 1803.04853



Vivien Goepp, Jean-Christophe Thalabard, Grégory Nuel, Olivier Bouaziz. Regularized Bidimensional Estimation of the Hazard Rate. 2018. ⟨hal-01662197v3⟩



Record views


Files downloads