Sentence examples for of data strength from inspiring English sources

Exact(1)

After an initial hiatus (which will probably happen), we will soon come to balance the benefits of various features of datasets, including size of data, source of data, quality of data, strength of effect, plausibility of effect, reproducibility of effect, as well as issues about prespecification and multiplicity adjustments.

Similar(59)

So the type of data residual strength becomes of utmost importance, especially as even ''ultimate integrity'' involves damage.

Based upon the limited amount of data, the strength of evidence for all prescriber and patient characteristics evaluated only once in identified studies (n = 370) was automatically deemed "insufficient" and have not included in the strength of evidence table.

Each type of data possesses strengths that may be exploited by certain types of traffic management applications.

Weibull analysis provides a method for determining the reliability of strength measurements in the analysis of data from bond strength and tensile tests on dental restorative materials.

Aviation experts said the flight data recorder was designed to track more than 400 categories of data, including the strength of turbulence and the functioning of various cockpit systems.

Like other apps designed for emerging markets, YouTube Go includes a suite of features that take in consideration the high costs of data, poor signal strength, and the prevalent use of SD cards on Android devices.

In all these cases, the output of the work will always be questionable, because of the lack of data, but the strength of the method is that its results and final statements are refutable as data accrues.

The prospective design, long-term follow-up and completeness of data are the strength of our analysis.

Due to the absence of reliable data on strength of poorly lithified mudstones, we consider a broad range of possible UCS values, from 0 to 20 MPa, consistent with laboratory tests on shale (e.g., Lal 1999; Horsrud 2001).

I want the students to become sophisticated consumers of data, recognizing the strengths and weaknesses of the various data sets available to solve particular problems.

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