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Three predictors were in the anthropogenic category, and two in the environmental category, with minimum temperature and county human population being most strongly correlated (highest |b*|).
Other disorder predictors were in large agreement with the HCA plot.
The predictors were (in order of importance): HV previous year; chronological age; weight SDS; mid-parent height SDS and GH dose.
Other significant predictors were (in decreasing order of importance) the composite scores on the NP-Batt, the MMSE scores, gender and obesity.
In addition to this, all predictors were in agreement on the overall orientation of the transmembrane helices relative to the membrane.
In the statistically derived model, predictors were, in contrast to the expert-based models, selected based on significance of the association with the outcome (persistent shoulder pain at 3 months).
Similar(53)
Reference intervals for categorical predictors were in-hospital occupancy <95%, triage priority 3, age ≥65 years, presenting complaint other than the 10 most common, and not being referred to the ED.
It has been suggested that accuracy of existing maps used to derive predictors is in part responsible for the limited success of bird distribution models.
With the maximum allowed distance for predictions of 1,000 nucleotides from the reference transcription start sites, the sensitivity of predictors was in the range 32%to56%6%, while the positive predictive value was in the range 79%to93%3%.
Significant predictors are in bold.
Statistically significant predictors are in bold (p < 0.05).
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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