Visual Fortran Version 6.1 (Hewlet-Packard Company, Palo Alto, CA, USA) was used for compiling and clinical trial simulation was performed with the Pharsight Trial Simulator v. 2.1.2 (Pharsight Corporation, Mountain View, CA, USA).
For each trial simulation, we computed each week until the simulated epidemic went extinct.
Clinical trial simulation can be conducted by using the parameter plot and simulating doses, for example from 0 to 200 mg (show dose versus SuccessPercentT maximum).
We used the trial simulation framework to analyze the selenium model to determine how sensitive simulated trial outcomes were to changes in the model parameters.
In fact, the gas flow effect range changes less than 10%% of maximum travel distance when it is doubled in our trial simulation.
A design based on group sequential and up and down designs was developed and operational characteristics were explored by trial simulation.
The most important result from clinical trial simulation is to give a realistic expectation of the likelihood of success of the trial.
Networks can provide validated, real-world information about natural history, participant distribution, and standards of care to inform planning of development programs, including extrapolation and clinical trial simulation.
These findings obtained by the clinical trial simulation approach are useful for optimization of study design and determination of the limits of evaluation.
The proposed design has been implemented in an ongoing study and software for trial simulation is available at http://odin.mdacc.tmc.edu/~yuanj/soft.html.html
To design these studies, the use of the expected Fisher information matrix (MF) is a good alternative to clinical trial simulation.
