| Autor: |
François Ducray, Emmanuel Grenier, Jérôme Honnorat, Jean-Yves Delattre, Stéphanie Cartalat-Carel, Johan Pallud, Linda Dainese, Dimitri Psimaras, Ahmed Idbaih, Branka Čajavec-Bernard, Michel Tod, Vincent Calvez, Damien Ricard, Mathieu Peyre, Gentian Kaloshi, Benjamin Ribba |
| Rok vydání: |
2023 |
| DOI: |
10.1158/1078-0432.22446384 |
| Popis: |
PDF file, 258K, Figure S 1: Stepwise procedure applied to build the model structure (left panel); non-specific and specific evaluation criteria for model selection (right panel). Figure S 2: Results of the sensitivity analysis for the model on the 21 patients treated with PCV. The analysis consists of repeating the estimations, leaving out one patient's data at a time. Parameter estimates are represented with histograms indicating the number of patients (y-axis) for each value of the parameter (x-axis). It appears that no single patient substantially influenced the estimation. Figure S 3: Comparison of parameter estimates in the 21 patients treated with PCV when the variability of KDE is fixed to 0 or fixed to 70%. Figure S 4: Comparison of parameter estimates between the PCV dataset (n = 21) and the pooled dataset (n = 40, comprising patients from the PCV and radiotherapy datasets). The probability density functions calculated using the standard errors on the estimates are represented in continuous and dashed lines for the PCV and pooled datasets, respectively. They show that with the exception of two treatment-specific parameters (the efficacy parameter γ and the transfer rate from Qp to P, ), the parameters are homogeneous. Figure S 5: MTD observations (symbols) and individual predictions (solid line) for six individuals sampled from the PCV dataset. Included is the 90% confidence interval around the individual predictions obtained by simulations using the standard errors of the empirical Bayes estimates. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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