Due to significant progress in cancer treatments and management in survival studies
involving time to relapse (or death), we often need survival models with cured fraction to …

Prostate cancer (PrCA) is the most common cancer diagnosed in American men and the
second leading cause of death from malignancies. There are large geographical variation …

With the proliferation of spatially oriented time-to-event data, spatial modeling in the survival
context has received increased recent attention. A traditional way to capture a spatial pattern …

This paper examines the factors that make a political regime more vulnerable to overthrow
given the number of years elapsed since the regime's inception. By analyzing a relatively …

The common usage of the term frailty, which literally means the condition (quality) of being
frail or a fault, may be too ambiguous to be very useful for characterising network security …

In this research we introduce a new class of Bayesian hierarchical models that incorporates
spatial or spatio-temporal heterogeneity and cure rates to model spatially clustered time-to …