2 papers
stat.ME2025
Surviving the frailty of time to event analysis in massive datasets with Generalized Additive Models (and the help of Simon Laplace)
Christos Argyropoulos, Hamza Mir, Maria-Eleni Roumelioti +1
Analyses of time to event datasets have been invariably based on the Cox proportional hazards model (PHM). Reformulations of the PHM as a Poisson Generalized Additive Model (GAM) o…
stat.AP2019
High Performance Implementation of the Hierarchical Likelihood for Generalized Linear Mixed Models. An Application to estimate the potassium reference range in massive Electronic Health Records datasets
Cristian H Bologa, Vernon Shane Pankratz, Mark L Unruh +6
Converting electronic health record (EHR) entries to useful clinical inferences requires one to address the poor scalability of existing implementations of Generalized Linear Mixed…