<p>The number of random samples taken for each model for the sampling-based global sensitivity analysis.</p
<p>The scatter plot of Monte Carlo probabilistic sensitivity analysis for the X vs. XELOX strategies...
<p>Parameter values and plausible ranges for probability variables used in baseline and sensitivity ...
International audienceIt is shown that, starting from any existing Monte Carlo algorithm for estimat...
Model parameters: Baseline values, ranges, and distributions for Monte Carlo sensitivity analysis.</...
<p>Parameter values used in model. Parameters used in the sensitivity analysis were drawn from unifo...
<p>Incremental outcomes and strategy selection frequency with the probabilistic sensitivity analysis...
<p>Model parameters and probability distributions in the probabilistic sensitivity analyses.</p
<p>Model parameters that have been included in the sensitivity analysis, their upper and lower bound...
Probabilistic sensitivity analysis results with 10,000 Monte Carlo simulations for ESM-UBT versus co...
Central estimates of parameters were those used in the standard scenario (S). The references for the...
<p>Probability sensitivity analysis results using second-order Monte Carlo simulation (10,000 draws ...
<p>Shown are the results for parameter 2 (<i>MAPKKK activation.k1</i>) (A), parameter 5 (<i>binding ...
By definition, computer simulation or Monte Carlo models are not solved by mathematical analysis (su...
Results are presented in order of their effect on the ΔRMSE (largest to smallest). The axonometric v...
We compare the convergence properties of two different quasi-random sampling designs – Sobol’s quasi...
<p>The scatter plot of Monte Carlo probabilistic sensitivity analysis for the X vs. XELOX strategies...
<p>Parameter values and plausible ranges for probability variables used in baseline and sensitivity ...
International audienceIt is shown that, starting from any existing Monte Carlo algorithm for estimat...
Model parameters: Baseline values, ranges, and distributions for Monte Carlo sensitivity analysis.</...
<p>Parameter values used in model. Parameters used in the sensitivity analysis were drawn from unifo...
<p>Incremental outcomes and strategy selection frequency with the probabilistic sensitivity analysis...
<p>Model parameters and probability distributions in the probabilistic sensitivity analyses.</p
<p>Model parameters that have been included in the sensitivity analysis, their upper and lower bound...
Probabilistic sensitivity analysis results with 10,000 Monte Carlo simulations for ESM-UBT versus co...
Central estimates of parameters were those used in the standard scenario (S). The references for the...
<p>Probability sensitivity analysis results using second-order Monte Carlo simulation (10,000 draws ...
<p>Shown are the results for parameter 2 (<i>MAPKKK activation.k1</i>) (A), parameter 5 (<i>binding ...
By definition, computer simulation or Monte Carlo models are not solved by mathematical analysis (su...
Results are presented in order of their effect on the ΔRMSE (largest to smallest). The axonometric v...
We compare the convergence properties of two different quasi-random sampling designs – Sobol’s quasi...
<p>The scatter plot of Monte Carlo probabilistic sensitivity analysis for the X vs. XELOX strategies...
<p>Parameter values and plausible ranges for probability variables used in baseline and sensitivity ...
International audienceIt is shown that, starting from any existing Monte Carlo algorithm for estimat...
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