nma-methodology
CommunityDeep NMA guidance for robust evidence synthesis.
Data & Analytics#consistency#model-selection#bayesian#transitivity#network-meta-analysis#nma#frequentist
Authorchoxos
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transitivity, consistency, and model selection in network meta-analyses can be complex and error-prone, and researchers often lack a single source of structured guidance for planning and reviewing these analyses.
Core Features & Use Cases
- Provides deep methodological guidance for planning, conducting, and reviewing network meta-analyses, aligned with NICE DSU TSDs and PRISMA-NMA.
- Covers transitivity checks, consistency assessments, treatment rankings interpretation, and model selection (fixed vs random, Bayesian vs frequentist).
- Supports researchers and data analysts in designing analyses, validating code, and interpreting results with clear, actionable steps.
Quick Start
Review the network meta-analysis methodology guide to begin planning and evaluating your NMA with transitivity and consistency checks.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nma-methodology Download link: https://github.com/choxos/ITC-agents/archive/main.zip#nma-methodology Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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