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Matrix models using the six predictor variables were created for all outcome instruments (figure 1A F) and show a good spread of outcome rates over the different subpopulations defined by the predictor value categories.
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To estimate how efficiently microarray data derived predictors predict cancer genes, we ranked the probes by the predictors' values and estimated the percentage of the cancer-associated genes among the top 5% of the probes.
In addition, we checked the normality of residuals by plotting the residuals against the predictor values and the Shapiro-Wilk test.
Centering a predictor merely entails subtracting the mean of the predictor values in the data set from each predictor value.
Each tree is grown from a bootstrap sample of response variable and each node is guided by a predictor value to maximize differences in offspring branches.
Each case i was characterised by a predictor value X i and a criterion value Y i, such that X and Y approximated a bivariate standard normal distribution in the sample.
Finally, we identified the variables with independent predictor value by performing a multivariate analysis of Hazard ratio for Cox regression.
In Table 1, each row corresponds to the performance delivered by the predictor under one specific cut-off value of entropy.
Scores were calculated by dividing the products of regression coefficients and predictor values by the smallest product.
This extrapolation was carried out using a logistic transformation of the linear predictors; coefficients were obtained from the models fitted to the PND, and predictor values were substituted using predictor variable information informed by the GBPR.
Although the low r values indicate that not all variance is explained by the predictors, the high AUC values indicate that the prediction models have a high discriminatory ability.
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