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The model for patient characteristics found significant and consistent associations between baseline clinical values and intervention effects, suggesting that the impact of disease management becomes progressively better as patients' initial health values are poorer.
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For NRRs less than 0.60, the Eq. (14) values are poor.
Much depends on the method of extraction and total copper values are poor indicators.
In conclusion, both the RNA titer and p24 values are poor in predicting gene transfer efficiency.
Estimates of known extinction values are poor and seem to lack precision, with precision decreasing as the difference in extinction rates increase.
Furthermore, other evidence from the same research group suggests that baseline OHS or OKS values are poor predictors of overall patient satisfaction with the outcome of the joint replacement.
Cancer reference values were poorer among those with advanced disease compared with patients with limited or no evidence of disease, specifically physical function (41.1 v 46.6, respectively), fatigue (55.8 v 50.2, respectively), and pain interference (55.2 v 50.9, respectively).
The discriminatory power of the Ct values was poorer for the ROC analysis when RT-PCR positive cases with no other pathogen detected and early specimen collection were included in the reference positive group (reference positive group 2).
The experimental results have been analysed using an extended multicomponent Langmuir equation with a competition term but the correlation between the experimental and the predicted values was poor.
Positive predictive values for response were 85%, but negative predictive values were poor at 59%.
Overall predictive values were poor, but slightly better for static versus dynamic variables (Table 1).
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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