Published July 20, 2026
| Version v1.1.0
Software
Open
spatial-signal-learnability-simulation-study: Simulation code for 'When Spatial Signal Is Not Enough: Learning Validity, Model Advantage, and Computational Feasibility in a Staged Simulation Study'
Authors/Creators
- 1. Department of Epidemiology, Fukushima Medical University School of Medicine, Fukushima, Japan
- 2. Department of Epidemiology, Fukushima Medical University School of Medicine / Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, Fukushima, Japan
Description
Simulation code for a staged study that distinguishes predictive spatial opportunity, DCRNN learnability, realized comparative advantage over a negative-binomial GLM, and operational feasibility in a 49-node healthcare-utilization simulation. Implements four evidence stages: oracle spatial diagnostic (4 seeds), Gate A 40-replication comparison, Phase R2 continuous-training extension (400 epochs), and a DD feasibility pilot. All stages are covered by a frozen protocol with seven amendments and a decision record documenting non-launch of the confirmatory analysis.
Notes
Files
haruki00430/spatial-signal-learnability-simulation-study-v1.1.0.zip
Additional details
Related works
- Is supplement to
- Software: https://github.com/haruki00430/spatial-signal-learnability-simulation-study/tree/v1.1.0 (URL)