New insights into survival trend analyses in cancer population-based studies: the SUDCAN methodology-Reference-Cited by-同舟云学术

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New insights into survival trend analyses in cancer population-based studies: the SUDCAN methodology

Published:2017-01 Issue: Volume:26 Page:S9-S15
ISSN:0959-8278
Container-title:European Journal of Cancer Prevention
language:en
Short-container-title:

Author:

Uhry Zoé,Bossard Nadine,Remontet Laurent,Iwaz Jean,Roche Laurent

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cancer Research,Public Health, Environmental and Occupational Health,Oncology,Epidemiology

Reference18 articles.

1. Time-dependent hazard ratio: modeling and hypothesis testing with application in lupus nephritis;Abrahamowicz;J Am Stat Assoc,1996

2. Temporal trends in the relative survival among women with cervical cancer in Canada: a population-based study;Akhtar-Danesh;Int J Gynecol Cancer,2012

3. Global surveillance of cancer survival 1995–2009: analysis of individual data for 25 676 887 patients from 279 population-based registries in 67 countries (CONCORD-2);Allemani;Lancet,2015

4. Comparison of four methods for estimating complete life tables from abridged life tables using mortality data supplied to EUROCARE-3;Baili;Math Popul Stud,2005

5. Survival of cancer patients in France: a population-based study from The Association of the French Cancer Registries (FRANCIM);Bossard;Eur J Cancer,2007

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