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The Pearson correlation coefficient between the predicted probabilities and the Borda scores is 0.97.
Calibration refers to the agreement between the predicted probabilities and the observed frequencies.
Calibration refers to correspondence between the predicted probabilities for a high or low ovarian response and the observed proportions.
When reported, the Hosmer-Lemeshow tests did not indicate poor fit (i.e. there were no significant departures between the predicted probabilities and the respective observed mortality proportions).
A calibration plot using the val.surv method was used to graphically assess the agreement between the predicted probabilities and observed outcomes.
A model with a Brier score of 0.21 indicates that there are large differences between the predicted probabilities and the actual outcome.
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In addition, the association between the response variable and the predicted probabilities had 69.9% concordant pairs.
The Hosmer-Lemeshow Goodness-of-Fit test p-value was calculated at 0.06 with 66.5% concordant pairs between the response variable and the predicted probabilities.
The predicted probabilities vary between approx 0.25 and 0.35.
A logit transformation ensures that the predicted probabilities range between 0 and 1.
Significant correlation was observed between the predicted probability of oxaliplatin sensitivity and the tumor growth inhibition measurement for a given MDX (p=0.0012).Reliable and consistent predictions of oxaliplatin sensitivity can be obtained from gene expression data from FFPE tissues.
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