Performance on the complete dataset.

Overview of the performance of the different algorithms using the univariate and multivariate approach and on 8, 24 and 48 weeks of therapy. The multivariate approach includes additional variables in the model: start year of therapy, information on start of a new drug class, number of previous therapy switches, previous drug class experience, baseline viral load, baseline CD4, gender, age, risk group. Reported are the odds ratio (OR), 95% confidence interval (CI) and P-value (P) of the logistic model and the median and standard deviation (SD) of the 10-fold cross-validation area under the ROC curve (AUC).
*The performance of the algorithms is compared with that of Rega 8 using a Wilcoxon signed-rank test and the P-value corrected for multiple testing is reported.