Let X(t), t ≥ 0, be a real or vector valued stochastic process and T a random killing-time of the process which generally depends on the sample function. In the context of survival analysis, T ...

In multivariable adjusted model, no association seen for impaired kidney function with increased hazard of dementia compared with preserved kidney function.

The PHREG procedure in SAS/STAT software performs regression analysis of survival or duration data based on the Cox proportional hazards model. Cox's semiparametric model is widely used in the ...

We study stochastic properties of the empty space for stationary germ—grain models in ${\mathbb{R}^{\mathrm{d}}$ ; in particular, we deal with the inner radius of the empty space with respect to a ...

In a longitudinal clinical study to compare two groups, the primary end point is often the time to a specific event (eg, disease progression, death). The hazard ratio estimate is routinely used to ...

Two estimators of the survivor function are available: one is the product-limit estimate and the other is based on the empirical cumulative hazard function.

The capacity to anticipate the timing of environmental cues allows us to allocate sensory resources at the right time and prepare actions. Such anticipation requires knowledge of elapsed time and of ...