Optimal environment to build and analyze simulation scenarios
- Definition – create easily new exploration and simulation elements (parameters, treatments, outputs, covariates, etc.) of different types using built-in methods or external tables
- Exploration – analyze in real time different treatments and effects of model parameters by simulating a typical individual; create several exploration groups, overlay experimental data and send a scenario in a single click to a clinical trial simulation
- Simulation – simulate clinical trials using a population of individuals in one or several groups with specific treatment, individual characteristics or measurement times; use flexible post-processing tools, and get immediate feedback in intuitive exportable tables and interactive plots.
Outputs and plots
All simulation outputs are displayed in sortable and formatted tables easy to copy in any document and are exported in the result folder in an R-compatible format. Interactive plots are also automatically generated for straightforward interpretation of the results.
R API to automate your process
All steps performed in Simulx can be run from R with the LixoftConnectors package. What you have done once intuitively in the interface in a specific scenario can be generalized to a script automating the process for any other simulation or design optimization.
Comprehensive documentation and examples
Great care has been taken to provide a comprehensive Simulx documentation that includes methodology, software manuals and tutorials.
A wide collection of examples that include models and data can be used as templates to start your own project.
A lot of online material (feature of the weeks videos, webinars, case studies, …) on our Lixoft University page.