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stat.ME2026
TwoTimeScales: An R-package for Smoothing Hazards with Two Time Scales
Angela Carollo, Paul H. C. Eilers, Hein Putter +1
Background: Time-to-event data with multiple time scales are observed in many epidemiological and clinical studies. While models that allow for simultaneous consideration of multip…
stat.ME2024
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
Kaya Miah, Jelle J. Goeman, Hein Putter +2
In multi-state models based on high-dimensional data, effective modeling strategies are required to determine an optimal, ideally parsimonious model. In particular, linking covaria…
stat.ME2024
Multiple imputation of missing covariates when using the Fine-Gray model
Edouard F. Bonneville, Jan Beyersmann, Ruth H. Keogh +5
The Fine-Gray model for the subdistribution hazard is commonly used for estimating associations between covariates and competing risks outcomes. When there are missing values in th…