In survival analysis, proportional hazards model is the most commonly used and the Cox model is the most popular. These models are developed to facilitate statistical analysis frequently encountered in medical research or reliability studies. In analyzing real data sets, checking the validity of...

We propose a class of Bayesian cure rate models by incorporating a baseline density function as well as multiplicative and additive covariate structures. Our model naturally accommodates zero and non-zero cure rates, which provides an objective way to examine the existence of a survival fraction...

In this article, we consider the setting where the event of interest can occur repeatedly for the same subject (i.e., a recurrent event; e.g., hospitalization) and may be stopped permanently by a terminating event (e.g., death). Among the different ways to model recurrent/terminal event data,...

In many longitudinal studies, it is of interest to characterize the relationship between a time-to-event (e.g. survival) and time-dependent and time-independent covariates. Time-dependent covariates are generally observed intermittently and with error.For a single time-dependent covariate, a...

Statistical models involving latent variables are widely used in many areas of applications, such as biomedical science and social science. When likelihood-based parametric inferential methods are used to make statistical inference, certain distributional assumptions on the latent variables are...

We consider a mixture model approach to the regression analysis of competing-risks data. Attention is focused on inference concerning the effects of factors on both the probability of occurrence and the hazard rate conditional on each of the failure types. These two quantities are specified in...

Tradicionalmente, los concursos de acreedores en España han sido procedimientos largos y costosos, que casi siempre terminaban en la liquidación de la empresa concursada (95 %). Estas disfuncionalidades quedaron en evidencia con el fuerte aumento de los concursos de acreedores durante la...

We introduce a duration model that allows for unobserved cumulative individual-specific shocks, which are likely to be important in explaining variations in duration outcomes, such as length of life and time spent unemployed. The model is also a useful tool in situations where researchers...

We extend economic analysis of the nuclear power industry by developing and employing three tools. They are 1) compilation and unification of operating and accounting data sets for plants and sites, 2) an abstract industry model with major economic agents and features, and 3) a model of nuclear...

Most adoption studies have employed cross-sectional data in a static discrete choice modellingframework to analyze why some farmers adopt at a certain point in time. The static approachdoes not consider the dynamic environment in which the adoption decision is made and thusdoes not incorporate...