Laurent Remontet

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For a sound use of health care data in epidemiology: evaluation of a calibration model for count data with application to prediction of cancer incidence in areas without cancer registry.

Édouard Chatignoux, Laurent Remontet, Jean Iwaz, 2019, Biostatistics.

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.

survPen: an R package for hazard and excess hazard modelling with multidimensional penalized splines

Laurent Remontet, Zoé Uhry, Mathieu Fauvernier, 2019, J. Open Source Softw..

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.

Modeling excess hazard with time-to-cure as a parameter.

Laurent Remontet, Marc Colonna, Laurent Bordes, 2020, Biometrics.

Use of prostate systematic and targeted biopsy on the basis of multiparametric MRI in biopsy-naive patients (MRI-FIRST): a prospective, multicentre, paired diagnostic study.

Laurent Lemaitre, Olivier Rouvière, Nicolas Grenier, 2019, The Lancet. Oncology.

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.

Estimating net survival: the importance of allowing for informative censoring

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

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.