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It may well be that the statistical projections are unreliable or it may not, but no one has even looked.
Another reason could be that the statistical power was not sufficient in the examined population.
One possible explanation might be that the statistical power of our samples was not enough to detect the effects of this locus in the Chinese population.
And even if they were, it may be that the statistical power of such laboratory tests is simply not adequate to pick up effects that occur in a small proportion of the exposed organisms.
Another reason may be that the statistical spread of the self-reported use was greater for the verbalizer dimension than for the visualizer dimension (Var score verb = 1.15) > Var score vis =.87) ).
Note – TPR: True Positive Rate (sensitivity), FPR: False Positive Rate, TNR: True Negative Rate (Specificity), FNR: False Negative Rate One reason for this ineffectiveness may be that the statistical models for all these tools are trained using Mendelian disease-associated nsSNVs [ 25, 26], which may not be similar to nsSNVs associated with drug responses.
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His answer is that the statistical edge, when it turns up, is a placebo effect.
The novelty of the model is that the statistical mechanics solution can be easily worked out.
The problem is that the statistical models that comprise economists' toolkit are best applied in normal times, so economists naturally like to describe the situation as normal.
What seems to have been going on was that the statistical filter was picking up extraneous effects, often correlated with good economic developments.
The most interesting finding is that the statistical design has the limitation in predicting the reaction behavior especially when the reaction is controlled with more than one mechanism.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com