Cardiovascular diseases (CVD) are heart and blood vessels diseases with considerable
morbidity and mortality and presenting worldwide public health burden, moreover CVDs are …

Cancer is a worldwide illness that causes significant morbidity and death and imposes an
immense cost on global public health. Modelling such a phenomenon is complex because …

Background Prevalence of dementia illness, causing certain morbidity and mortality globally,
places burden on global public health. This study primary goal was to assess future risks of …

Abstract Novel coronavirus disease 2019 (COVID-19) is a contagious disease with high
transmissibility to spread worldwide with considerable morbidity and mortality and presents …

This article proposes an approach to estimate and make inference on the parameters of
copula link-based survival models. The methodology allows for the margins to be specified …

In time-to-event studies it is common the presence of a fraction of individuals not expecting
to experience the event of interest; these individuals who are immune to the event or cured …

Bivariate survival outcomes arise frequently in applied studies where the occurrence of two
events of interest are associated. Often the exact event times are unknown due to censoring …

Copula‐based survival regression models, which consist of a copula function and marginal
distribution (ie, marginal survival function), have been widely used for analyzing clustered …

We are concerned with the flexible parametric analysis of bivariate survival data. Elsewhere,
we argued in favour of an adapted form of the 'power generalized Weibull'distribution as an …

Bivariate lifetime distributions are of great importance in studies related to interdependent
components, especially in engineering applications. In this paper, we introduce two bivariate …