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Clinical use of this type of model is extremely simple and immediate, since each dummy predictor equal to one directly indicates an estimated number of blood packs.
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The appropriate predictor order M of the RLS predictor is equal to 2 or 3 when there is no measurement noise and it depends on noise ratio NR when the measurement error cannot be neglected.
Similar to Powers' approach, we assigned each variable in the final cohort-derived model a predictor score equal to its β coefficient (natural log of the adjusted prevalence odds ratio) from the GEE model, rounded to the nearest integer (Table 1).
The number of predictors was equal to p = 2.000, p = 3.571, p = 2,308 or p = 2.041, depending on the source of simulation (Table 2).
Finally, we simulate the corresponding times to event using a proportional hazards model (parametric bootstrap) fitted to the j-th dataset: (1) M true j : λ j (t | x ) = λ 0 j (t ) × exp (x T β j ), where λ j(t| x) is the individual hazard function when the vector of predictors is equal to x and β j denotes a vector of regression coefficients.
Two groups of predictors (with size equal to 1% of total size of predictors) were "randomly" chosen as the relevant predictors, respectively, for Y1 and Y2.
The prognostic index value for a given individual summarises the relative hazard of that person with respect to a hypothetical patient with predictor values all equal to zero.
We generated an ROC curve to represent a chance decision to permit comparison of the machine learning classifiers against chance; the predictor with performance equal to chance will have AUROC = 0.5, while the ideal classifier will give an AUROC = 1.0.
Measuring these 20 transcript levels by qRT-PCR indicated that their performance as a predictor of responsiveness was equal to that obtained with 37 transcripts.
The uncertainty values obtained thereby have subsequently been incorporated into many of the models distributed with ADMET Predictor 7.0 as predictive "confidences" (equal to 1 – u k)).
14 We started by including all univariate predictor variables with p values equal to or less than 0.25 in the initial model.
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