<p>Solid black lines indicate process flow, dotted lines indicate that information from the source of the line is used in the step of the process to which the line leads (denoted by a diamond).</p
<p>Summary of simulation parameters for base case, one-way sensitivity and multi-way monte carlo sim...
<p>Parameter values used in model. Parameters used in the sensitivity analysis were drawn from unifo...
Discrete-event stochastic simulation is a powerful tool for understanding and evaluating complex sys...
<p>Model parameters and probability distributions in the probabilistic sensitivity analyses.</p
<p>Flow chart of parameter inference. Dotted arrows and box with dotted line correspond to a prepara...
Simulation of any physical process requires definition of the physical model, method – analytical or...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>Probability sensitivity analysis results using second-order Monte Carlo simulation (10,000 draws ...
<p>The bule line repesents the initial model’s simulation result; the gray points represent the obse...
<p>Red octagonal shows all the wet lab experiments. Aqua diamond shows the data analysis method. Blu...
Summary. In many areas of science and technology, mathematical models are built to simu-late complex...
<p>Red and black lines present fits of the stochastic model to the simulation data with varying <i>m...
Partial response in green (A), stable disease in blue (B), or progressive disease in red (C). Solid ...
The table summarizes the mean (standard deviation) values for the number of correct/wrong flows, bas...
<p>Dash Line: Heckman Selection Model. Solid Line: Lifetime Model (Random Coefficient): Certainty. D...
<p>Summary of simulation parameters for base case, one-way sensitivity and multi-way monte carlo sim...
<p>Parameter values used in model. Parameters used in the sensitivity analysis were drawn from unifo...
Discrete-event stochastic simulation is a powerful tool for understanding and evaluating complex sys...
<p>Model parameters and probability distributions in the probabilistic sensitivity analyses.</p
<p>Flow chart of parameter inference. Dotted arrows and box with dotted line correspond to a prepara...
Simulation of any physical process requires definition of the physical model, method – analytical or...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>Probability sensitivity analysis results using second-order Monte Carlo simulation (10,000 draws ...
<p>The bule line repesents the initial model’s simulation result; the gray points represent the obse...
<p>Red octagonal shows all the wet lab experiments. Aqua diamond shows the data analysis method. Blu...
Summary. In many areas of science and technology, mathematical models are built to simu-late complex...
<p>Red and black lines present fits of the stochastic model to the simulation data with varying <i>m...
Partial response in green (A), stable disease in blue (B), or progressive disease in red (C). Solid ...
The table summarizes the mean (standard deviation) values for the number of correct/wrong flows, bas...
<p>Dash Line: Heckman Selection Model. Solid Line: Lifetime Model (Random Coefficient): Certainty. D...
<p>Summary of simulation parameters for base case, one-way sensitivity and multi-way monte carlo sim...
<p>Parameter values used in model. Parameters used in the sensitivity analysis were drawn from unifo...
Discrete-event stochastic simulation is a powerful tool for understanding and evaluating complex sys...
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