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Two components with 67 predictors resulted in a model with good performance (R = 0.65, Q = 0.41).
Finally, we tested to what extent the 3 different models could account for regional responses along the ventral stream and at which times and locations adding different predictors resulted in an improved model fit (Fig. 7).
For most regions, the comprehensive model i.e. the combination of clinical and radiological predictors, resulted in the largest explained variance: 26% (forefoot), 34% (MT-1 region), 25% (MT-2 region), 16% (MT-3 region), 13% (MT-4 region) and 29% (MT-5 region), table 5. We used the same radiological measures in the present study as in previous studies by Morag and Cavanagh (1999)[ 47].
Similar(57)
It is much faster than previous implementations of BMA for a large number of predictors, resulting in running time comparable to that of LASSO.
In our case study, there were 672 malignant tumors for 23 potential predictors, resulting in nearly 30 events per potential predictor, while guidelines propose 10 to 50 events per variable depending on the situation [ 18].
For each morphometric trait, different combinations of environmental variables were retained as important predictors, resulting in markedly different patterns of spatial variation (see Figures 2a and b for examples of predicted variation in morphometric traits).
Thus, a paired test can be performed by providing an appropriate design matrix with patient as predictors, resulting in a fixed effect model for ϕ, that is, ∀ n, as in MH.
To arrive at the study sample size we assumed 8 events per variable, an injury incidence rate of 30% and 15 independent predictors resulting in a required sample size of at least 360 participants.
The Smith predictor resulted in less overshoot and approximately a 50% reduction in settling time in response to dynamic loading.
However, for the analysis of only the RF− patients, the accuracies were similar, but using MTX plus etanercept as the predictor resulted in a much lower false-positive rate.
A positive value indicates that increasing the value of the predictor resulted in decreased acceptability of the un- form, as would be predicted for the pre-emption and entrenchment measures.
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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