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Model endpoints were either benign FNA results or definitive histological diagnosis.Molecular testing added $104 per patient to the overall cost of nodule evaluation (StC $578 vs. MT $682).
After fitting the model, endpoints were computed by finding where the OD curves for each antigen type crossed the OD curve for two times the negative control values at each serum dilution.
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Note that penalization of SA at the model endpoints was imposed more strongly in CHAOS-5l; hence, its SV is close to constant near the ends of the model timespan.
We analyzed the benefit of adjuvant CMF and anthracyclines in univariate and multivariable survival models; endpoints were disease-free (DFS) and overall survival (OS).
In a simple Cox model, the endpoints were found to be significantly associated with tumor size, serum AFP levels of alpha fetoprotein (AFP), total albumin concentration (ALBU), venous infiltration (VENINV), tumor stage (pTNM and AJCC), and the number of tumor nodule (NOTN).
The binary classification models for predicting the clinical endpoints were constructed by using support vector machine (SVM), which is a popular learning machine based on statistical learning theory [ 43, 44].
Study endpoints were compared using three models.
All endpoints were analysed using mixed models [ 44].
Secondary endpoints were assessed with the respective adjusted models, using standard ANCOVA models for continuous outcomes.
Other efficacy endpoints were analyzed using the ANCOVA model described for the primary endpoint, with the baseline value for the endpoint in question as an additional linear covariate.
Secondary endpoints were compared using an ANOVA model similar to the one used for the analysis of the primary endpoint.
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