In the inference made between the variables of mean time in years worked and each unit studied, using the Kruskal–Wallis statistical analysis, a quasi-significant p -value of 0.05755 was obtained.
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“quasi-significant”
In the literature
Interestingly, 80% of patients were prior users of ARBs, and the authors found quasi-significant results favoring continuation in older persons, obese patients, and in those clinically more severe, in line with our findings (see later).
To assist with the quantification of trends in the data, quasi-significant differences were defined with an alpha level between 0.05 and 0.10 [ 31 ].
Clinical Interpretability After the total pool of MDS features is evaluated by machine learning and a best-fit model is produced, iterative feature reduction is necessary to distill a frequently overwhelming number of quasi-significant features to the least number possible, while preserving the predictive power of the model.