Fitsum Baye

Deep Learning Survival Analysis with Time-Varying Covariates: Extending PyCox to Assess COVID-19 Antiviral Treatments and Long-COVID Associations

Abstract Objective To extend the PyCox to accommodate time-varying covariates using counting process data, addressing immortal time bias in survival analysis. Materials and Methods We modified PyCox to support counting process data structures for time-varying covariates and appli...