Nathalie GRAFFEO

I am involved in various courses of the Master of Public Health at Aix-Marseille University, such as R programming, longitudinal statistics, and survival analysis.

My research interest focuses on developing and applying biostatistics methods for helping epidemiologists or clinicians to study and improve the quality of care for patients, mainly in cancer research. I completed a PhD in clinical research and public health at Aix Marseille University, France. My PhD research involved the study of the use of inappropriate life tables in an excess mortality model and the development of a new log-rank type test to compare net survival distributions. As a postdoctoral fellow, I worked on causal inference methods in population-based studies but also in the framework of clinical trials. In this latter context, I have also been working on the prognostic and predictive impact of a biomarker on survival, and on the adaptation of an excess mortality model in case of multicenter clinical trials.

I work currently on the French national cancer cohort that was set up on the basis of SNDS and that includes all patients diagnosed, treated or followed up for a cancer since 2010. Due to the large amount of data, we will use machine learning methods to study cancer care.

R Packages (https://sesstim.univ-amu.fr/equipe-quantim/programmes_stats): ipcwswitch (creator, maintainer), SPODT (collaborator)

Keywords: biostatiscs, survival, net survival, excess mortality, life tables, test, causal inference, decision trees