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On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables

Rubio, FJ; Rachet, B; Giorgi, R; Maringe, C; Belot, A; (2021) On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables. Biostatistics , 22 (1) pp. 51-67. 10.1093/biostatistics/kxz017. Green open access

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Abstract

In cancer epidemiology using population-based data, regression models for the excess mortality hazard is a useful method to estimate cancer survival and to describe the association between prognosis factors and excess mortality. This method requires expected mortality rates from general population life tables: each cancer patient is assigned an expected (background) mortality rate obtained from the life tables, typically at least according to their age and sex, from the population they belong to. However, those life tables may be insufficiently stratified, as some characteristics such as deprivation, ethnicity, and comorbidities, are not available in the life tables for a number of countries. This may affect the background mortality rate allocated to each patient, and it has been shown that not including relevant information for assigning an expected mortality rate to each patient induces a bias in the estimation of the regression parameters of the excess hazard model. We propose two parametric corrections in excess hazard regression models, including a single-parameter or a random effect (frailty), to account for possible mismatches in the life table and thus misspecification of the background mortality rate. In an extensive simulation study, the good statistical performance of the proposed approach is demonstrated, and we illustrate their use on real population-based data of lung cancer patients. We present conditions and limitations of these methods and provide some recommendations for their use in practice.

Type: Article
Title: On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/biostatistics/kxz017
Publisher version: http://dx.doi.org/10.1093/biostatistics/kxz017
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Excess mortality hazard, Exponentiated Weibull distribution, General hazard structure, Life tables, Net survival
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10126574
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