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The model was weighted by inverse of the variance or study size [18, 19].
The regression model was weighted by the 2008 mid-year population estimate for each local authority.
The model was weighted by inverse of the variance or study size [ 18, 19].
Respiration rate, the most important cue for predicting patient risk in the ecological model, was weighted most heavily by participants.
For the scoring scheme, each variable from the final model was weighted by its coefficient and transformed to an item score.
Following this common procedure in SPSS, the regression model was weighted for duration of illness to establish whether recovery from AN in terms of weight restoration, might be linked to GMV [ 7].
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Generally, the saliency map of the proposed model is weighted by the existence probability.
A possible reason is that every model is weighted so that the information of all matches is used.
Robust predictive analyses use the entire model class with the probabilistic predictions of each model being weighted by its prior probability, or if structural response data is available, by its posterior probability from Bayes' Theorem for the model class.
For scoring the different models, variables in the model were weighted by their respective logistic regression coefficient.
Finally, observations in our outcome model are weighted in inverse proportion to the sampling probability using the inverse of the stabilized weights.
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