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A perceived weakness of this model was lowered job satisfaction of physicians.
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The correlation coefficient (R2) of the BP model was lower than that of ELM model.
AIC and log likelihood for the spatial lag model was lower which meant that the spatial lag model provided a better fit.
The area of Bt cotton fields within 750 m of the monitored fields best explained outcrossing rates, as the explanatory power of the model was lower at smaller or larger scales (Fig. 2).
Only the strength of the model was lower (R = 0.57).
Similarly the true positive rate (TPR) of this model was lower (9.3%).
The AICc of the P model was lower (AICc = 1168.727) than the AICc of the S model (AICc = 1208.150).
The accuracy of the Purpuratus model was lower when analyzing sea urchin sequences than when analyzing the vertebrate sequences.
In PROactive, the estimated event rate with the original UKPDS model was lower than the observed event rate.
The CIF of the cause-specific hazards model revealed a higher CIF curve than the subdistribution hazards model: the unstratified Lunn-McNeil model was lower yet.
The standard error of the model was lower than the standard deviation of the average dose under the lead apron (0.11).
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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