A log-rank-type test to compare net survival distributions.

Grafféo, N; Castell, F; Belot, A; Giorgi, R; (2016) A log-rank-type test to compare net survival distributions. Biometrics. ISSN 0006-341X DOI: https://doi.org/10.1111/biom.12477

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In population-based cancer studies, it is often interesting to compare cancer survival between different populations. However, in such studies, the exact causes of death are often unavailable or unreliable. Net survival methods were developed to overcome this difficulty. Net survival is the survival that would be observed if the disease under study was the only possible cause of death. The Pohar-Perme estimator (PPE) is a nonparametric consistent estimator of net survival. In this article, we present a log-rank-type test for comparing net survival functions (as estimated by PPE) between several groups. We put the test within the counting process framework to introduce the inverse probability weighting procedure as required by the PPE. We built a stratified version to control for categorical covariates that affect the outcome. We performed simulation studies to evaluate the performance of this test and worked an application on real data.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Research Centre: Cancer Survival Group
Centre for Statistical Methodology
PubMed ID: 26821615
Web of Science ID: 383369000010
URI: http://researchonline.lshtm.ac.uk/id/eprint/2535271


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