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Statistical Methods in Medical Research|October 6, 2020
Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inferenceCamille Maringe, Aurélien Belot, Bernard RachetStatistics in Medicine|January 24, 2023
Individual frailty excess hazard models in cancer epidemiologyFrancisco J Rubio, Hein Putter, Aurélien BelotBiometrics|January 30, 2016
A log-rank-type test to compare net survival distributionsNathalie Grafféo, Fabienne Castell, Aurélien Belot, et al.Statistics in Medicine|November 21, 2008
The performance of multiple imputation for missing covariate data within the context of regression relative survival analysisRoch Giorgi, Aurélien Belot, Jean Gaudart, et al.Statistics in Medicine|July 21, 2010
Flexible modeling of competing risks in survival analysisAurélien Belot, Michal Abrahamowicz, Laurent Remontet, et al.Journal of Clinical Epidemiology|February 12, 2013
Expected impact of a public health intervention in the presence of synergistic risk factorsHadrien Charvat, François Gueyffier, Aurélien Belot, et al.Cancer Epidemiology|April 25, 2015
Cause-specific or relative survival setting to estimate population-based net survival from cancer? An empirical evaluation using women diagnosed with breast cancer in Geneva between 1981 and 1991 and followed for 20 years after diagnosisRobin Schaffar, Bernard Rachet, Aurélien Belot, et al.Cancer Epidemiology|May 1, 2013
Description of an approach based on maximum likelihood to adjust an excess hazard model with a random effectCyrielle Dupont, Nadine Bossard, Laurent Remontet, et al.Statistics in Medicine|March 19, 2014
A joint frailty model to estimate the recurrence process and the disease-specific mortality process without needing the cause of deathAurélien Belot, Virginie Rondeau, Laurent Remontet, et al.Journal of Global Oncology|May 10, 2019
The Mortality-to-Incidence Ratio Is Not a Valid Proxy for Cancer SurvivalLibby Ellis, Aurélien Belot, Bernard Rachet, et al.Pageof 9