Sentence examples for statistical judgment from inspiring English sources

Exact(2)

Often the average judgment, which we might describe as the group's "statistical judgment," will be uncannily good.

The purpose of assessment: Paradigm 1 makes a statistical judgment on whether the new biomarkers have added value, which is a binary decision and does not indicate how much the added value is.

Similar(58)

What remains widely unappreciated is why, and when, statistical judgments will prove to be accurate or inaccurate.

Another is that desires that reflect accurate statistical judgments are not inherently offensive to equal opportunity.

Blinded to study outcome, the team collectively reviewed the distribution for each drug and determined--based on clinical and statistical judgment--that tertile categorization was appropriate because the distribution of outcomes was too sparse to allow more granular analyses.

The required sample sizes to achieve a nominal power of 1-γ = 0.8 on a two-sided test with a α = 0.05 using a Fisher distribution revealed that at least 78 patients are required per study group to enable statistical judgments that are accurate and reliable.

Rather, as in all cases of statistical modeling, judgment is required.

By building on the Sprangers and Schwartz [ 1] model and explicitly integrating a formulation of QOL appraisal in both statistical and judgment models of QOL, we hope to pave the way for research that links response shift phenomena to other critical areas of research where self-evaluation comes into play.

Typically contingency is estimated using statistical analysis or judgment based on past asset or project experience.

This chapter outlines the applications, implementation steps, expert judgment, statistical tools, and decision making that make up the PREDICT methodology.

In statistical analysis, for judgment of statistical methods to each other and to find out the efficiency of the methods, six statistical tools, i.e., relative percentage error (RPE), root mean square error (RMSE), mean percentage error (MPE), mean absolute percentage error (MAPE), Chi square error (χ 2), and analysis of variance or efficiency of the method (R 2) were used.

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