Sentence examples for mortality hazard associated from inspiring English sources

Mossey & Shapiro [ 12], in a pioneering study of the association between SRH and mortality, showed that the mortality hazard associated with worse SRH was stronger than the mortality hazard associated with objective measures of health.

After completing the preliminary univariate analysis, Cox proportional-hazards regression models were applied to estimate the adjusted mortality hazard associated with prevalent depression.

The mortality hazard associated with the interaction between depression and antidepressant use was 1.32 (95%CI = 0.76 2.30; z = 0.98, p = 0.328).

As the interaction between depression and antidepressant use did not contribute to explain mortality, the term was not included in the final explanatory model, which showed that the independent (fully adjusted) mortality hazard associated with depression and antidepressant use was 1.93 (95%CI = 1.57 2.38; z = 6.18, p<0.001) and 1.31 (95%CI = 1.02 1.68; z = 2.14, p = 0.032), respectively.

We then used a Cox proportional hazards model to estimate the mortality hazard associated with being elected leader.

In contrast, the mortality hazard associated with having two as compared to zero psychiatric comorbidities decreased from 1.69 in veterans with zero medical comorbidities to 1.38 in veterans with 3 or more medical comorbidities.

The mortality hazards associated with having 2 or 3 or more medical comorbidities as compared to no medical comorbidities were 1.54 and 2.63, respectively, in veterans with diabetes without any psychiatric comorbidity.

The Cox's PH model imposes the assumption that the mortality hazards associated with different patterns of covariates ('risk profiles') are proportional, which implies that the estimated effects of prognostic factors on the hazard are a priori constrained to remain constant over the entire follow-up time (Cox, 1972).

However, the magnitude of the mortality hazard risk associated with other co-morbidities appears to be much larger than any ESA specific effect, and since the results are consistent internally (between groups) and externally (compared to other studies), we feel the results are valid and contribute to our understanding of the effects of ESA use in the dialysis population.

As non-carriers do not experience the mortality risk associated with non-sporadic breast or ovarian cancer hazard hbo(x), their overall mortality hazard hNC x) is simply ha(x).

Cox regression estimated mortality hazard ratios associated with each nutrient and the antioxidant index adjusting for potential confounders.