We propose a two‐way flexible cure rate model. The first flexibility is provided by
considering a family of Box‐Cox transformation cure models that include the commonly used …

Ignoring the presence of dependent censoring in data analysis can lead to biased estimates,
for example, not considering the effect of abandonment of the tuberculosis treatment may …

The existence of items not susceptible to the event of interest is of both theoretical and
practical importance. Although researchers may provide, for example, biological, medical, or …

Piecewise models play a crucial role in statistical analysis as they allow the same pattern to
be adjusted over different regions of the data, achieving a higher quality of fit than would be …

Cure rate models have been widely studied to analyze time-to-event data with a cured
fraction of patients. In this type of model, the number of concurrent causes is assumed to be …

Aim To characterize the impact of the COVID‐19 pandemic on diabetes diagnosis using
data from Alberta's Tomorrow Project (ATP), a population‐based cohort study of chronic …

In this paper, we extend the unified class of Box–Cox transformation (BCT) cure rate models
to accommodate interval-censored data. The probability of cure is modeled using a general …

A novel cure rate model is introduced by considering, for the number of concurrent causes,
the modified power series distribution and, for the time to event, the recently proposed power …

Over the last decades, the challenges in survival models have been changing considerably
and full probabilistic modeling is crucial in many medical applications. Motivated from a new …

ACKNOWLEDGEMENTS I would first like to express my gratitude to my doctoral supervisor,
Dr. Suvra Pal, for sharing his expertise in survival analysis and his academic enthusiasm …