Sentence examples for error for change from inspiring English sources

Mean ± standard error for change to baseline in respiratory function (reflected by P/F ratio and EVLWI), cardiovascular function reflected by MAP/heart rate ratio, and renal function as assessed with renal SOFA score during 1 week of PAL-treatment.

Data are shown as mean ± standard error for change from baseline for primary efficacy endpoints.

Multivariable linear regression models were performed calculating β-coefficients and standard error (SE) for change in FMD between diabetic (type 1 and 2) and non-diabetic subjects.

The three studies reported mean PANSS-P in patients treated with quetiapine or aripiprazole with SDs ranging from 4.1 to 7.4, or standard error (SE) for change of PANSS-P from entry to end of treatment of around 0.6 (corresponding to SD = 5.9).

The standard error for the change area was 9,520 ha with the 95% confidence interval ranging from 3,331 to 41,408 ha (the total area of Georgia is 6,970,000 ha).

The MPC demonstrated significantly better tracking control relative to conventional approaches (a reduction of 70% in terms of the integral of squared error for step changes in the temperature set-point), while reducing the VCC energy requirements by 16%.

Point estimates in 11 of 13 countries indicated that between the two most recent surveys HIV prevalence declined more or increased less among currently pregnant women than all women (Fig. 2b) Note that the standard errors for the change HIV prevalence among pregnant women are large (Fig. 2a; Table S1), and the difference in prevalence trend is not statistically significant in any country.

Random changes in allele frequencies can also be caused by effects other than sampling error, for example random changes in selection pressure.

In other words, we show, for example, how the error for ∇I changes when combined with |∇I|, therefore, allowing us to deduce if ∇I benefits from the combination.

Secondly, a 24 hour hybridization time consistently outperformed an 18 hour hybridization time, with respect to the relative error, for all fold changes examined on the Codelink platform.

For example, if we take 485 non-smoking adolescents including non-responders, standard error of smoking susceptibility was 0.022 while taking 352 adolescents, the standard error for smoking susceptibility changed to 0.026.