A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non‐linear and non‐proportional effects of covariatesHadrien Charvat, Laurent Remontet, Nadine Bossard et al.|Statistics in Medicine|2016Cited by 48
Flexible and structured survival model for a simultaneous estimation of non-linear and non-proportional effects and complex interactions between continuous variables: Performance of this multidimensional penalized spline approach in net survival trend analysisLaurent Remontet, Jean Iwaz, Aurélien Belot et al.|Statistical Methods in Medical Research|2018Cited by 40
Probabilities of dying from cancer and other causes in French cancer patients based on an unbiased estimator of net survival: A study of five common cancersHadrien Charvat, Laurent Remontet, Nadine Bossard et al.|Cancer Epidemiology|2013Cited by 36
Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based dataAurélien Belot, Nadine Bossard, Laurent Remontet et al.|Clinical Epidemiology|2018Cited by 19
Performance of two formal tests based on martingales residuals to check the proportional hazard assumption and the functional form of the prognostic factors in flexible parametric excess hazard modelsCoraline Danieli, Laurent Remontet, Nadine Bossard et al.|Biostatistics|2017Cited by 8