In clinical studies the estimate of the probabilities of a first failure for specific causes (crude cumulative incidence) is of particular interest while the analysis of the cause specific hazard functions provide useful information on the disease dynamic for biological hypotheses generation and follow-up planning. Recently, the estimation of crude cumulative incidence has received great attent...

In the analysis of competing risk data, the observed effect of a covariate can be obtained via a Fine and Gray sub-distribution hazard ratio. Sometimes, it is also desirable to obtain the virtual effect of a covariate as if the competing risks were non-existent. Under the latent failure time scenario, when the event of interest and the competing risk event are independent, the cause-specific ha...

This paper proposes a Capabilities-based Approach to guide hazard mitigation efforts. First, a discussion is provided of the criteria that should be met by an adequate framework for formulating public policy and allocating resources. This paper shows why a common decision-aiding tool, Cost-benefit Analysis, fails to fulfill such criteria. A Capabilities-based Approach to hazard mitigation is th...

This study introduces a computational framework for efficient and accurate seismic fragility analysis based on combination of artificial ground motion modeling, polynomial-chaos-based global sensitivity analysis, hierarchical kriging surrogate modeling. The follows the philosophy Performance-Based Earthquake Engineering PEER approach, where is decoupled from hazard analysis. addresses three cri...