Sentence examples for controlled proportion of from inspiring English sources

In this work an increasing percental molar ratio of the acid catalyst (DBSH) was used (0.1/1-4/1) in relation to β-nonylphenoxypolyethyleneoxy (n = 3-20) propionitoilensurensure in the end, after stoichiometric neutralization with inorganic or organic bases, respectively, the controlled proportion of the anionic surface-active component in the proposed binary colloidal system.

This indicates that the current strategy used to manufacture rhFVIIa enables a stable and controlled final proportion of these structures.

The primary outcome of this review will be any changes in mean systolic blood pressure (SBP) and/or mean diastolic blood pressure (DBP) in any care setting as well as the number of patients under blood pressure (BP) control or proportion of controlled BP defined by each randomised trial's investigators.

However, in HIV-1 infection where viral replication is well-controlled, the proportion of these subsets is similar to that of uninfected individuals [17], [24].

Morphing is a computerized tool allowing the generation of pictures which are « hybrids » of two sources-pictures, in controlled proportions.

Cost-effectiveness analysis requires effectiveness measures which can either be intermediate outcomes (e.g. BP control or proportion of patients with controlled BP) or long-term outcomes (e.g. life years gained, MI/stroke averted).

In active controlled trials the proportion of patients with at least 50% pain relief over four to six hours was 85/117 patients, or 73%65%to81% 81%), compared with 65/114 patients, or 57%48%to66% 66%) in placebo controlled trials.

Although in randomised controlled trials the proportion of CAM users should be equal in each trial arm, the trial outcome could theoretically be influenced if a CAM specifically interacts with the trial agent but not with the control medication/placebo.

More specifically, the proportion of controlled patients in each of the two arms was compared.

The design difference represents the difference between datasets from observational studies and from randomised controlled trials as a proportion of the summary effect of each meta-analysis.

Surprisingly, it appears that in spite of well conducted randomized controlled trials, a substantial proportion of patients have not yet been offered the best treatments.