Sentence examples for model for competing from inspiring English sources

But with them the companies may have stumbled on the solution to a larger problem: building a robust business model for competing in the new global marketplace.

To estimate the influence of baseline covariates on sepsis occurrence, we used the proportional hazards regression Fine and Gray model for competing risk.

Using a cause-specific model for competing risk adjusted on risk factors for death and renal replacement therapy, administration of aminoglycosides between days 1 and 3 was not associated with renal replacement therapy or death at day 28 (death: cause-specific hazard ratio CSHR 1.41, 95%% CI 0.98 2.02, p = .06; renal replacement therapy: CSHR 1.44, 95%% CI 0.67 3.1, p = .35).35

A further alternative is to use a mixture model for competing risks data as proposed by Larson and Dinse [ 4, 33].

We also performed sensitivity analyses using proportional hazards model for competing risks proposed by Fine and Gray for secondary outcomes, as death can be considered as a competing risk for those events.

The regression model for competing risks of Fine and Gray estimates the ratios of the hazards of the subdistributions, a natural extension of Cox modelling for hazards in the non-competing risks situation.

Proportional hazards models for competing risks were used to study the combined effects of variables on mortality.

Visitor use preferences were spatially mapped to create recreation suitability models for competing recreation activity groups, and GPS tracking of visitor use was used to compare and contrast actual user patterns with mapped preferences.

In addition, regression models for competing risks data have been proposed by Fine and Gray, and by Klein and Anderson.

Posterior mean hazard ratio estimates from separate survival models for competing risk data, namely, the cause-specific hazard (HR) model and the sub-distribution hazard (SHR) model.

In the previous issue of Critical Care, Wolkewitz and colleagues extended traditional models for competing risks to include random effects as a means to quantify heterogeneity among ICUs.