cureAssess - Assessing Cure Model Appropriateness for Survival Data
Assesses whether cure models are appropriate for
right-censored survival data, where a fraction of subjects may
never experience the event of interest. Implements a two-stage
workflow combining Kaplan-Meier visualization and comparison of
parametric cure and non-cure models by the Akaike information
criterion with formal diagnostics for sufficient follow-up and
for the presence of a cured fraction. The diagnostics include
the statistics of Maller and Zhou (1992)
<doi:10.1093/biomet/79.4.731> and Maller and Zhou (1994)
<doi:10.1080/01621459.1994.10476889>, the test of Shen (2000)
<doi:10.1016/S0167-7152(00)00063-8>, and the ratio estimation
of censored uncured subjects ('RECeUS') method of Selukar and
Othus (2023) <doi:10.1002/sim.9610>.
