Exact(4)
We present predictors of ICU and hospital mortality in Table 3.
They may explain some of the variance of the present predictors failure, emotional inhibition and depression [ 68].
To present predictors of injury mortality by types of injury and by pre-existing attributes or other individual exposures identified at baseline.
This was corroborated by regression analyses of the individual wager distributions for lag 2, which revealed only one participant (with distinct peaks at €20 for T2 'absent' and 'present') with significant contributions of both the absent and present predictors.
Similar(56)
Results show that the present predictor, which is related to the previously published predictors, is capable to unify multiaxial fatigue data.
The qualitative performance of the present predictor indicates that it has highest R (0.865) and lowest MAPE (4.8936), RMSE (0.0337), APE (−0.346) as compared to other existing predictors.
Taking into account the performance of the predictor both in the LOOCV and in the external validation, we estimated a 94.4% sensitivity and an 85.7% specificity of the present predictor model.
Taking together the estimates in the internal (LOOCV) and external validation, the present predictor has an estimated 94.4% sensitivity and 85.7% specificity for the prediction of infliximab response which is the highest performance reached by a biomarker for this therapy to date.
The present predictor study is based on data from that trial.
The present predictor explained a significant portion of the variance for all lags (ps < .002).002
This was confirmed by a linear regression analysis of the grand-average wager distributions for T2-present trials (lags 1 6), which indicated significant contributions of the present predictor (ps < .001) but not of the absent predictor.
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