MomentBalance ავტორი Jason

MomentBalance is a professional research tool that creates statistically balanced experimental groups from CSV measurement data using advanced optimization algorithms.

Core Functionality:
- CSV Data Import: Upload files with subject IDs and measurement values (volume in mm³, weights, biomarkers, etc.)
- Dual Optimization: Balances both group means AND standard deviations simultaneously - crucial for reducing confounding variables
- Simulated Annealing Algorithm: Uses sophisticated probabilistic optimization with configurable quality levels (10,000-100,000 iterations)
- Flexible Group Configuration: Create 2-10 balanced groups of equal size
- Real-time Data Preview: Instant validation and preview of uploaded CSV data

Advanced Features:
- Statistical Validation: Displays fitness scores, variance metrics, and balance quality assessments
- Progress Tracking: Visual feedback during optimization process
- Data Persistence: Automatically saves settings and data between sessions
- Responsive Interface: Clean, professional UI with Bootstrap framework
- Export-Ready Results: Detailed group assignments with individual measurements and statistical summaries

Research Applications:
- Animal Studies: Balance tumour volumes, body weights, biomarker levels
- Clinical Trials: Create matched patient groups based on baseline measurements
- Agricultural Research: Balance soil samples, plant measurements, treatment plots
- Manufacturing QC: Balance product batches, material properties, testing samples

Technical Specifications:
- Optimizes variance of group averages + variance of group standard deviations
- Uses greedy initialization followed by probabilistic improvement
- Temperature-controlled acceptance of sub-optimal solutions to escape local minima
- Supports metric units and Canadian English localization

Why MomentBalance?
Traditional random assignment often creates unbalanced groups. MomentBalance ensures your experimental groups start with equivalent statistical properties, improving the validity and power of your statistical analyses.

Perfect for researchers, statisticians, and quality control professionals requiring rigorous experimental design.