Sentence examples for hazard is a function of from inspiring English sources

Hazard functions can be estimated using either semiparametric or parametric methods.8 Semiparametric models are more appealing as they allow greater flexibility; in semiparametric models, the baseline hazard λ 0 (t) is left unspecified.9 Hazard is a function of a vector of explanatory variables X with coefficients ß that can be estimated.

Therefore, the cumulative hazard is a function of all cause-specific hazards k = 1, …, K. Equation (2) clearly shows that to obtain the cumulative risk of an event of interest (in our case, breast cancer incidence), the cause-specific hazard for all competing causes (competing mortality) should be also estimated.

Similarly, since exposure to environmental hazards is a function of an individual's daily activities and patterns, we have likely missed important variability in the durations of exposure to specific noise sources.

Vulnerability to natural hazards is a function of physical exposure, sensitivity, and adaptive capacity (Chow et al. 2012; Polsky et al. 2007; Turner et al. 2003; Wisner et al. 2004).

Exposure is preferred to risk, since risk is a function of the hazard and the exposure to that hazard.

To answer the question "Vulnerability of what," we use a systems approach (system as a collection of parts or subsystems) and begin with the classic concept of "risk" as we find it in natural science or engineering domains: risk is a function of hazard and vulnerability.

Human exposures to indoor air hazards are a function of many factors including building characteristics, lifestyles and behaviors, and availability of information and means to remediate known indoor problems.

The health risk of a nanoparticle is a function of both its hazard to human health and its exposure potential.

For example, Weibull distribution and Gamma distribution can be used for survival problems where the hazard monotonically changes with time, and log-logistic and log-normal distribution can be used when the hazard is a unimodal function of time.

By assuming that the cumulative excess hazard is a multiplicative function of the covariates, x, and that the effects are proportional with respect to the underlying time scale gives (4) ln (Θ (t ; x ) ) = s (ln (t ) ; γ 0, k 0 ) + x T β.

The model assumes that the underlying hazard rate (rather than survival time) is a function of the independent covariates.