3 papers
stat.ME2026
A parametric framework for assessing and estimating sufficient follow-up time in cure models
Luiz Silva-Resende, Dionisio Alves-Neto, Danilo Alvares +1
Reliable estimation of cure fractions depends critically on adequate follow-up. Classical procedures for assessing follow-up sufficiency are primarily inferential, whereas a separa…
stat.ME2025
A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
Dionisio Silva Neto, Denis Rustand, Haavard Rue +2
In recent medical studies, the combination of longitudinal measurements with time-to-event data has increased the demand for more sophisticated models without unbiased estimates. J…
stat.AP2025
Regression modeling for cure factors on uterine cancer data using the reparametrized defective generalized Gompertz distribution
Dionisio Silva Neto, Francisco Louzada Neto, Vera Lucia Tomazella
Recent advances in medical research have improved survival outcomes for patients with life-threatening diseases. As a result, the existence of long-term survivors from these illnes…