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The final refinement statistics for all data sets and the geometries and distances of all final models as evaluated by PROCHECK (29) are shown in Table 2.
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Healing responses in the animal model as evaluated by histology and imaging should be comparable to those found in humans to allow for reliable translation of results from large animal studies to the clinical setting.
Table 7 Nowcasting performance Base model Google model Mean absolute error 29.559 15.059 Root mean squared error 41.564 34.59 Mean absolute percentage error 7.728 7.125 The Google model leads to lower errors than the base model, as evaluated by three different error metrics.
In all these cases no acceptable models were generated and we thus tried to use the I-TASSER algorithm for structure simulation which produced a suitable model, as evaluated by Verify 3D.
Individual risk factors were retained in the model if they significantly improved the fit of the model, as evaluated by the likelihood ratio test comparing the deviances from the two nested models or if they changed the risk estimate by more than 10%.
These were Zigmond and Snaith's [ 12] original two-factor model, Moorey et al.'s [ 43] two-factor model, Razavi et al.'s [ 44] single-factor model, two versions of Clark and Watson's [ 34] three-factor model as evaluated by Dunbar and colleagues [ 32], Friedman et al.'s [ 33] three-factor model and two versions of Caci et al.'s [ 31] three-factor model.
To resolve regions for which there is a lack of agreement, we generated model B by manually adjusting the alignment on the basis of the results of model A as evaluated by HDX.
Removing the term B T would result in M1c which would decrease the model fit as evaluated by AIC.
Interactions between all fixed effects were tested but none were significant or improved the model fit significantly as evaluated by the Akaike Information Criterion AICC), so no interaction terms were included in the model.
The predictive performance of the model was good as evaluated by predicted AUC values being within ±20% of the observed clinical data in dose escalation scenarios.
However, other genetic models were evaluated as well.
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