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 ...

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 ...

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 landmark analysis, patients remaining at risk (eg, alive, free of other clinical progression events) to a specific time point are classified according to their status with respect to the surrogate ...