This market-leading book offers a readable introduction to the statistical inference of cure rate estimation in cancer trials when the bounded cumulative hazard model is employed using right and interval censored data. Its overarching goal is to provide readers with the knowledge necessary to select appropriate techniques for estimating the cure fraction in cancer studies when some cancer patients in a clinical trial are cured. Chapter topics include aspects of cancer clinical trials and cure fraction and types of censoring in survival data, non parametric estimation techniques of the cure fraction for right and interval censoring cases using some common techniques, inferences about cure fraction in the parametric case without covariates, parametric estimation of the cure fraction using the same censoring types when some covariates are employed in the analysis.