Sentence examples for mortality per unit from inspiring English sources

The risk of mortality per unit incremental decrease in hemoglobin (g/dl) was RR 1.19 (1.09 to 1.30), p <0.001 and the risk of mortality, MACE, and reinfarction per 1 unit incremental decrease in hematocrit was RR 1.07 (1.05 to 1.10), p = 0.04, RR 1.09 (1.08 to 1.10) and RR 1.06 (1.03 to 1.10), respectively.

The effects of anthropometric indices were modelled as quantitative variables expressing a change in mortality per unit increase of the index.

Therefore, summing up temperature effects and ignoring the timing would dilute the effects of ambient temperature, reducing the estimated change in mortality per unit change in temperature.

The multivariate adjusted hazard ratios for all-cause and diabetes-related mortality per unit increase in log 8-oxoGuo were 1.33 (95% CI 1.07 1.64; P = 0.009) and 1.40 (1.08–1.81; P = 0.01), respectively.

The multivariate-adjusted hazard ratios for all-cause and diabetes-related mortality per unit increase in log8-oxoGuo were 1.82 (95% CI 1.36 2.42; P < 0.001) and 1.64 (1.13–2.37; P = 0.009), respectively.

For each of the three age groups, modelling the effect of change in vaccine coverage as a linear instead of a binary (dummy) variable results in the point estimates suggesting a lower excess mortality per unit increase in vaccine coverage but with wide CIs including the null (data not shown).

As in the previous models, any cell which did not have either resistance gene suffered a per unit antibiotic mortality of m = 0.1.

The mortality rate per unit time was calculated by dividing the original mortality rates by the relative mean larval period of 7 d (after the number of individuals were counted), the relative mean pupal period of 7 d, and the relative mean prepural period of 1 d, which were based on the data of normally developed individuals from the Tsukuba F1 generation in the fall of 2011.

Since higher total mortality is expected for longer migration distances (assuming a constant mortality rate per unit distance), P N) is biased upwards for the populations whose route to the northern station is shorter than the route to the southern station.

The two figures are moderately correlated with one another (r = 0.50), with a ratio that varies by a factor of ten (with a minimum mortality reduction per unit energy savings in North Dakota and a maximum in Maryland).

After controlling for age, sex, and injury severity, multiple logistic regression demonstrated that increased muscle index was significantly associated with decreased mortality (OR per unit muscle index = 0.93, 95% CI: 0.875-0.997, P = 0.025).