Analytica
The Decision-Making Software for Complex Models.
Overview
Analytica is a visual software environment for building and analyzing quantitative models. It is used for decision analysis, risk analysis, and policy analysis. Its use of influence diagrams makes the structure of complex models transparent. While not a traditional biostatistics tool, it is used in health economics, outcomes research, and epidemiological modeling.
✨ Key Features
- Influence diagrams for visual modeling
- Intelligent Arrays for handling multidimensional data
- Monte Carlo simulation for risk and uncertainty analysis
- Sensitivity analysis
- Optimization
🎯 Key Differentiators
- Visual, influence-diagram approach to modeling
- Intelligent Arrays feature simplifies working with multidimensional data
- Clarity and transparency of model structure
Unique Value: Provides unparalleled clarity in building and communicating complex quantitative models, especially those involving risk and uncertainty, making it ideal for decision and policy analysis.
🎯 Use Cases (4)
✅ Best For
- Building a Markov model to assess the long-term cost-effectiveness of a new drug.
- Using Monte Carlo simulation to model the uncertainty in an epidemic forecast.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Standard statistical analysis of clinical trial data (e.g., t-tests, ANOVA)
- Users who prefer a traditional programming or menu-driven interface
🏆 Alternatives
While spreadsheets can be used for modeling, they quickly become opaque and error-prone ('spreadsheet hell'). Analytica's visual and structural approach makes models easier to build, audit, and understand.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 30-day free trial
Free tier: Analytica Free 101 allows models with up to 101 user objects.
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