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For example, DRUGSURV would be able to predict the inefficiency of sunitinib in patients with (HER2)/neu-negative advanced breast cancer (see Results).
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We predict the bigger the OTHPERS, the larger the inefficiency (and out-migration).
The predicted mean inefficiency from the classical stochastic frontier model (Model 1) is around 47percentnt but once heterogeneity and spatial interactions are incorporated both the mean inefficiency score and the estimated underlying standard deviation of u (δu) change significantly.
Consideration of buoyancy and momentum forces as defined by a Richardson number successfully predicted the velocity dependency of the combustion inefficiency as being U∞/Vj1/3 and not R.
Throughout the 2000's, technology entrepreneurs and pundits were quick to point out the "inefficiency" of buying television and predicted the rise of the more measurable and targetable digital media on the horizon.
Similarly, once spatial dependence in output and efficiency are controlled for the estimated underlying distribution of u (δu) falls almost by 25percentnt (i.e. from 1 to between 0.75 and 0.8) and the predicted mean inefficiency almost by 20percentnt (i.e. from 0.48 to between 0.38 and 0.40).
The higher a hospital OPDIPD, the lower the predicted inefficiency score.
Thus, the higher a hospital's ALOS, the higher the predicted inefficiency score.
These measures are shown to be useful for diagnosing inefficiencies in given search procedures, tuning parameters, and predicting the value of innovations to existing strategies.
This implies that an increase in the ratio of inpatient per doctor would drop the predicted value of inefficiency score of hospitals.
This implies that a one percent increase in the ratio of inpatient per doctor would drop the predicted value of inefficiency score by 3.25%.
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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