MSCA - Clustering of Multiple Censored Time-to-Event Endpoints
Provides basic tools for computing clusters of instances
described by multiple time-to-event censored endpoints. From
long-format datasets, where one instance is described by one or
more records of events, a procedure is used to compute state
matrices. Then, from state matrices, a procedure provides
optimised computation of the Jaccard distance between
instances. The library is currently in development, and more
options and tools allowing graphical representation of
typologies are expected. For methodological details, see our
methodological paper: Delord M, Douiri A (2025)
<doi:10.1186/s12874-025-02476-7>.