Sentence examples for data deviation from from inspiring English sources

Pore pressure was predicted by deploying Eaton's method on observed sonic data deviation from normal compaction trend.

The CUSUM technique is a method adopted by the medical profession in the 1970s to analyze the learning curve for surgical procedure [ 11, 12] and transforms raw data into running total data deviation from their group mean, enabling investigators to visualize the data for trends not discernible with other approaches [ 9– 12].

Of the 356 SNPs (see Supplemental Material, Table S1), we removed 186 SNPs because of poor genotyping efficiency (< 95%), monomorphic genotype data, deviation from Hardy Weinberg equilibrium (< 0.0001), or low MAF (< 5%) in the subcohort, leaving 170 SNPs in 17 genes for analysis.

To the best of our knowledge, no study in the field of laparoscopic staging in cervical and endometrial cancers has used cumulative sum analysis (CUSUM), which transforms raw data into running total data deviations from their group mean, enabling investigators to visualize the data for trends not discernible with other approaches [ 11, 12].

Zones A (CGM data ≤20%% deviation from BG) and B are considered as clinically acceptable zones, whereas values in zones C, D and E are increasingly dangerous for the patient, and zone E may lead to adverse therapeutic decisions.

This fit is then used to scale (or normalize) the component images into z score units also reflecting the data's deviation from the mean, thus, enabling second-level random effects analyses to be performed.

Specifically, when model predictions were compared with soil data, no deviation from linearity was apparent, and the R-value was 86%.

The descriptions of such an approach were ambiguous, and may cover any type of descriptions for exclusion, such as missing data and deviation from protocol.

Empirical data showed deviation from the NCCSP guidelines and a set of rules was applied to define the combination of cytology and HPV test for clinical decision (figure 2).

In other words, reliability engineers often face data with deviations from the assumed model especially when studying failure data.

The low overpotential admittance data show deviations from predictions of the classical kinetic model of HER.