Sentence examples for setting up measurements from inspiring English sources

The sample sizes required for reliable estimates are often substantial and deserve careful consideration when setting up measurements.

In our experience, the number of patients to be approached per provider is a heavily debated issue among researchers and stakeholders when setting up measurements.

In order to make full use of these advances in instrumentation, the routine tasks associated with setting up measurement runs and analysing the data need to be made as efficient as possible.

This is an expected result, since the cost of setting up measurement occasions is independent of β at n d = 1 (cf. equation (4)).

Significant deviations from this principle occurred if costs for recruiting subjects were large compared to costs for setting up measurement occasions, and, at the same time, the between-subjects to within-subject variance ratio was small.

This happens if costs for recruiting subjects are large compared to costs for setting up measurement occasions, and, at the same time, the between-subjects to within-subject variance ratio is small.

This also applies when between-subjects and within-subject variances are of similar size, unless the unit cost of recruiting subjects is large relative to that of setting up measurement occasions.

The lower percentages of complete data for some collaboratives seemed to be indicative of the difficulty programme managers had in selecting indicators and questionnaires, and setting up measurement systems.

Non-linearities in subject recruitment costs always have a clear influence on the size of the optimal data set, while non-linearities in costs for setting up measurement occasions are important only in cases when the optimal strategy includes multiple measurements per subject.

Similar to the issue of cost function sensitivity discussed above, the principle of how to optimize exposure assessment seem, however, to be very robust to changes in unit costs and variance components when between-subject variability is large compared to within-subject variability and subject recruitment costs are small or similar to costs for setting up measurement occasions (table 2).

At other combinations of variance components and unit costs, in particular when between-subject variability was small compared to within-subject variability and subject recruitment costs at the same time were large compared to costs for setting up measurement occasions, non-linearities did, however, strongly affect both the optimal allocation principle and the eventual statistical performance.