// Build evidence network graph for network meta-analysis — nodes, edges, geometry assessment
SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
Design structured data extraction form for systematic meta-analysis data collection
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
| name | evidence-network-construction |
| description | Build evidence network graph for network meta-analysis — nodes, edges, geometry assessment |
| execution | subagent |
| prompt | ./prompt.md |
| input | treatment_comparisons, study_arms |
| used-by | meta-analysis |
Build and assess the evidence network graph for network meta-analysis, mapping treatment nodes, direct comparison edges, and evaluating network geometry.
treatment_comparisons: All pairwise comparisons available in included studiesstudy_arms: Study arm-level data (treatments, sample sizes)Complete network geometry description with connectivity assessment, comparison matrix, and transitivity evaluation.