Sentence examples for multiple measurements in from inspiring English sources

We believe this is one of the first trials to use home BP as the primary outcome measure, offering similar advantages to ambulatory monitoring (multiple measurements in the absence of white-coat stimuli) without the disadvantage of patient resistance to repeated use.

Consequently, the addition of multiple measurements in the critical proximal zone may result in more robust results (Fig. 2).

However, it complicates the ranging because one measurement provides information on the pairwise distances of four nodes, but making multiple measurements in a network of at least six nodes provides enough information to compute the relative location of all nodes.

Because we performed multiple measurements in the same patients, we replaced the classic Bland-Altman analysis [19] by a specific technique dedicated to the evaluation of the agreement between methods of measurement with multiple observations per individual [20].

From the conversion relationship in Appendix, azimuth and elevation can be calculated as. Figure 17 2D identification by multiple measurements in two different directions of the array axis (simulation).

A 3D-printed microfluidic cartridge comprised of a linear array of liquid compartments is demonstrated as a simple means for interfacing with the system, and for performing multiple measurements in series that can easily include experimental controls, concentration standards, and replicates.

Along these lines, it would be ideal if a single measurement was found to be predictive of difficult laryngoscopy, thereby obviating the need for the multiple measurements made in the current study.

4) The platform should provide small spacing between probes to generate high density maps of CNVs; The only commercially available BAC aCGH array available measures at a median resolution of one megabase [ 8]. 5) Individual measurements should provide reliable data to avoid necessity of averaging multiple measurements, resulting in decreased resolution.

From the multiple measurements presented in this article, it can be stated that both at high and at low frequencies Gram positive bacteria (B. subtilis and S. epidermidis) can be distinguished from Gram negative bacteria (E. coli, S. marcescens, M. catarrhalis).

Where multiple measurements took place in a given year, we used the last recorded measurement in that year.

For appropriate consideration of multiple measurements per patient in these analyses, uni- and multivariable regression models were fitted in a "Generalized Linear Mixed Model" (GLMM) framework.