1 citations · 1 across the 4 of their papers we have counts for
4 papers
Dynamic prediction intervals for survival times
Lorenzo Carvisiglia, Saverio Ranciati, Mirko Signorelli
Most work on survival prediction focuses on estimating survival probabilities rather than predicting individual event times. Recent conformal methods have made it possible to const…
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…
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…
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…