Sentence examples for good statistical power from inspiring English sources

Exact(44)

Having done this, there are strong relationships between model parameters and the summary statistics, which means that inference via ABC on the basis of these statistics should provide good statistical power to infer parameter values.

The number of patients enrolled allowed testing these hypotheses with a good statistical power when 1040 events were observed.

Factorial designs are highly efficient (permitting evaluation of multiple intervention components with good statistical power) and present the opportunity to detect interactions amongst intervention components.

Yields were used as measured, regardless of statistical significance, since the statistical power to detect treatment effects is inherently low for whole-field strip trials, but averaging across many trials provides good statistical power for assessing Adapt-N performance.

In assessing drug efficacy, imaging biomarkers and imaging surrogate endpoints can not only be more objective and faster to measure than clinical outcomes, but also allow small group sizes, quick results and good statistical power.

Yields were used as measured, regardless of statistical significance, since the statistical power to detect treatment effects is inherently low for two-treatment strip trials, but averaging across large numbers of trials provides good statistical power for assessing Adapt-N performance.

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Similar(16)

It should provide good and known statistical power throughout the dose response curve, with potential confounds being understood and controlled.

The Swefot trial was designed to detect a 15% difference in treatment response according to the European League Against Rheumatism good criteria with a statistical power of 90% (α=0.05), but closed after enrolment of 487 patients (statistical power 75% (α=0.05)), mainly due to slower recruitment than anticipated.

The statistical tests presented in this paper have good properties in terms of statistical power.

Finally, the NHIRD is a large database that provides sufficient statistical power and good follow-up information for valid assessment of the relationship of HCV infection and CKD.

Instead, we selected target arrangements that evoked both possible choices and drove particularly robust population responses, which for some datasets yielded sufficient statistical power for good decoding of choice on single trials.

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