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Different values of these parameters result in poorer values for the log-likelihood.
First, because participants who were food insecure started the trial with poorer values for the outcome measures, regression to the mean may partially explain our findings.
Chin et al. reported somewhat poorer values obtained from a preoperative DXA scanning of patients above 50 years undergoing spine surgery but in an Asian population [ 33].
They found the optimal sensitivity of 80% and specificity of 55% in their sub-sample of psychiatric patients with a base rate of 84% PDs, and somewhat poorer values in their non-psychiatric subsample with a base rate of 44%.
A similar study assessing RNA in hip arthroplasties was conducted by Miniaci et al. which showed good sensitivity and specificity (85.7% and 87.5%, resp). of RNA in diagnosing femoral component loosening but poorer values for diagnosing acetabular component loosening (sensitivity of 48.3% and specificity of 66.7%) [ 10].
Similar(55)
For that, surely, regulatory failures rather than poor values are ultimately to blame.
In other words, singular solutions always yield poor values of the objective function of ICA algorithms.
The poor values of reduced chi square may have resulted from the experimental fluctuation of S values.
The poor values for the Medical Controlling systems in all three tests are particularly noteworthy.
Poor value.
But is that poor value?
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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