Oskar Laverny
I am currently an associate professor (maitre de conférence) in statistics at the SESSTIM in Marseille (France). Actuary by formation, I focus my researches on high dimensional statistics and dependence structures estimations, with a lot of applications in insurence, reinsurence, and more recently public health. I do have a taste for numerical code and open-source software, and most of my work is freely available on Github.
Session
The NetSurvival.jl package brings standard relative survival analysis modeling routines in Julia. Relative survival analysis is a branch of survival analysis where individuals are subject to two competing risks, but the cause of death is unknown, often for data quality reasons. In these circumstances, standard competing risks approaches are unusable and specific estimators and methods are used (e.g. Pohar-Perme net survival estimator, Graffeo's log-rank-type test among others).