Interval-valued data analysis and symbolic data techniques have emerged as vital tools in managing uncertainty and complexity inherent in modern datasets. Unlike traditional approaches that focus on ...

Interval-censored competing risks data arise when each study subject may experience an event or failure from one of several causes and the failure time is not observed directly but rather is known to ...

In this work the analysis of interval-censored data, with Weibull distribution as the underlying lifetime distribution has been considered. It is assumed that censoring mechanism is independent and ...

In prostate cancer, end points that reliably portend prognosis and treatment benefit (surrogate end points) can accelerate therapy development. Although surrogate end point candidates have been ...