3 papers
stat.ME2026
A Comparison of Packages for Estimating Generalized Linear Mixed Models
Xiang Li, Mirko Signorelli
Generalized linear mixed models (GLMMs) are widely used for analyzing correlated data, such as longitudinal and multilevel data. With over 15 packages available on $\t…
stat.ME2025
Dynamic Prediction in Mixture Cure Models: A Model-Based Landmarking Approach
Marta Cipriani, Marco Alfò, Mirko Signorelli
Mixture cure models are widely used in survival analysis when a portion of patients is considered cured and is no longer at risk for the event of interest. In clinical settings, dy…
stat.ME2025
pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors
Mirko Signorelli
In survival analysis, longitudinal information on the health status of a patient can be used to dynamically update the predicted probability that a patient will experience an event…