Sentence examples for both random errors and from inspiring English sources

Exact(4)

The PTC 19.1 1988 code specifies procedures for the evaluation of uncertainties in individual test measurements, arising from both random errors and systematic errors, and for the propagation of random and systematic uncertainties into the uncertainty of a test result.

The ASME, Performance Test Code on Test Uncertainty: Instruments and Apparatus PTC 19.1 specifies procedures for evaluation of uncertainties in individual test measurements, arising from both random errors and systematic errors, and for the propagation of random and systematic uncertainties into the uncertainty of test results.

In other laboratories, the WWARN QA/QC proficiency testing program was able to point out several discrepancies and advised laboratories on the examination of both random errors and systematic errors as possible root causes of any unsuccessful assay performance.

Using the Bland-Altman formula [ 24], the average bias and its associated 95% limits of agreement (LoA), which equates to approximately 1.96 multiplied by the standard deviation, delineate the overall measuring error of the GlucoRx TD-4280 BG meter; this value incorporates the presence of both random errors and any systematic deviations between the different measurement methods used.

Similar(56)

Conclusion: Last menstrual period estimates of the duration of gestation are subject to both random error and a systematic tendency to overstate the duration of gestation, most likely because of delayed ovulation.

This ratio depends on both random error and systematic errors, but is largely independent of the true coefficient [ 31, 37].

Finally, dietary data, including those presented here, are self-reported and so are subject to both random error and systematic error or bias.

In the latter scenario it varies due to both random error and true variation in effect size from one study to the next.

In discussing specific health results, it is also important to take into account concepts related to reducing both random error and exposure misclassification.

The inverse-variance method was used to combine data from different studies, using a random effects model to account for both random error and real differences in populations and interventions between studies (variability within and between studies).

There is wide agreement that CRL is the best measure for assessing gestational age, certainly up to 14 weeks GA, since LMP is affected by both random error and systematic tendency to overstate the duration of gestation, biological variability and errors of the method including recall bias, digit preference, and additional bleeding after conception [ 5, 27- 32].

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