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stat.ME2025
Can we detect treatment effect waning from time-to-event data?
Eni Musta, Joris Mooij
Understanding how the causal effect of a treatment evolves over time, including the potential for waning, is important for informed decisions on treatment discontinuation or repeti…
stat.ME2025
A mover-stayer model with time-dependent stayer fraction
Eni Musta, Martina Vittorietti
Mover-stayer models are used in social sciences and economics to model heterogeneous population dynamics in which some individuals never experience the event of interest ("stayers"…
stat.ME2025
Testing for sufficient follow-up in cure models with categorical covariates
Tsz Pang Yuen, Eni Musta, Ingrid Van Keilegom
In survival analysis, estimating the fraction of 'immune' or 'cured' subjects who will never experience the event of interest, requires a sufficiently long follow-up period. A few…