Simulation results for scenarios with low censoring and low cure status.

<p>Simulation results for scenarios with low censoring and low cure status.</p>

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Bibliographic Details
Main Author:	Aluwani Ramalata (21262977) (author)
Other Authors:	Akim Adekpedjou (18933560) (author), Maseka Lesaoana (20008329) (author)
Published:	2025
Subjects:	Biotechnology Ecology Immunology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified followed long enough selecting relevant covariates patients never relapse traditional survival models mixture cure modeling improve model interpretability facilitate variable selection div >< p considered cured rather accommodate scad regularization individuals remains event variable selection varying covariates 19 patients world scenarios world data varying effects susceptible individuals survival analysis study develops south africa proposed approach practical applicability penalized logistic often assumed limpopo province latency components key challenge implemented using free indefinitely eventually experience clinical studies
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