Aurélien Belot

发表

On a general structure for hazard-based regression models: An application to population-based cancer research

Laurent Remontet, Nicholas P Jewell, Francisco J Rubio, 2018, Statistical methods in medical research.

Comparison of model-building strategies for excess hazard regression models in the context of cancer epidemiology

Bernard Rachet, Aurélien Belot, Camille Maringe, 2019, BMC Medical Research Methodology.

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 analysis

Laurent Remontet, Jean Iwaz, Zoé Uhry, 2018, Statistical methods in medical research.

Flexible modeling of competing risks in survival analysis

Michal Abrahamowicz, Roch Giorgi, Laurent Remontet, 2010, Statistics in medicine.

mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect

Aurélien Belot, Hadrien Charvat, A. Belot, 2021, J. Stat. Softw..

Estimation nationale de l'incidence et de la mortalité par cancer en France entre 1980 et 2005

Aurélien Belot, A. Belot, 2008 .

Reliability of recording uterine cancer in death certification in France and age-specific proportions of deaths from cervix and corpus uteri.

Laurent Remontet, Jean Iwaz, Marc Colonna, 2011, Cancer epidemiology.

The performance of multiple imputation for missing covariate data within the context of regression relative survival analysis

Jean Gaudart, Aurélien Belot, Guy Launoy, 2008, Statistics in medicine.

Estimating net survival: the importance of allowing for informative censoring

Laurent Remontet, Aurélien Belot, Nadine Bossard, 2012, Statistics in medicine.

Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk Differences for Lung Cancer Mortality by Emergency Presentation

Giovanni Cerulli, Miguel Angel Luque-Fernandez, Bernard Rachet, 2018, American journal of epidemiology.

A multilevel excess hazard model to estimate net survival on hierarchical data allowing for non‐linear and non‐proportional effects of covariates

Bernard Rachet, Laurent Remontet, Aurélien Belot, 2016, Statistics in medicine.