Sentence examples for mortality hazard on from inspiring English sources

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The income and cause-specific mortality associations were modelled with penalized splines (with a cubic basis) in proportional hazard survival models in order to allow for possible non-linear dependence of mortality hazard on income (as well as for education when included as a covariate)[ 19, 20].

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82, 83 For example, sarcopenia, as measured by decreased lumbar skeletal muscle thickness, was independently associated with all-cause mortality (hazard ratio 1.93; P=0.004) on multivariable analysis in over 200 patients who were to undergo cystectomy.

When the results from patients with a nonischemic cardiomyopathy in both the earlier trial and in the current study were combined, there was no evidence of a favorable or unfavorable effect of amlodipine on mortality (hazard ratio: 0.97; 95% CI: 0.83 to 1.13; p = 0.66).

We built univariate and multivariable proportional hazards models to examine the effects of travel time on mortality hazard.

We used Geographic Information Systems to estimate pedestrian and vehicular travel times to hospitals and vaccine clinics and developed proportional-hazards models to evaluate the effects of travel time on mortality hazard in children less than 5 years of age, accounting for sex, ethnic group, maternal education, migrant status, rainfall and calendar time.

After propensity score matching, there was no effect of diabetes mellitus on the occurrence of intensive care unit-acquired infections (hazard ratio 0.57, 95%% confidence interval [0.26 1.24], p value = 0.16) and on hospital mortality (hazard ratio 0.96, 95%% confidence interval [0.54 1.71], p value = 0.88).

Indirect effects should be considered in this observational study, such as the possible effect of the lead time of earlier diagnoses on estimated mortality hazard ratios.

Follow-up of the Women's Health Initiative trial found a suggestion of a beneficial effect of vitamin D supplementation on cancer mortality (hazard ratio (HR) 0.89, 95%% confidence interval (CI): 0.77 to 1.03) [ 7].

By imposing this constraint, totally inconsistent with the actual, very significant time-dependent effect of albumin, the Cox's PH estimate, represented by a thick black line in Figure 3, suggested decreasing albumin had only a very weak effect on increased mortality hazard.

In contrast, Neal and colleagues [ 29] failed to demonstrate an effect of pre-injury statin use on in-hospital mortality (hazard ratio (HR) 1.98, 95% CI 0.9 to 4.0) or on nosocomial infection (HR 0.78, 95% CI 0.5 to1.4).

This is a problem because, at any age, the mortality hazard observed in the population depends on the proportion of carriers and non-carriers at this age and these proportions are not known.

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