← Voltar para o catálogo
Deep methodology knowledge for network meta-analysis including transitivity, consistency assessment, treatment rankings, and model selection. Use when conducting or reviewing NMA.
Ver no GitHub ↗
Copiar URL do repo
Copiar link do SKILL.md Licença: MIT
Como adicionar
Copiar comando
/plugin marketplace add choxos/BiostatAgent
O comando exato pode variar conforme o repositório. Confira o README no GitHub.
Para o autor da skill
Cole no README do seu repo
Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.
[](https://www.skillteca.com.br/skills/nma-methodology)
Copiar snippet
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
Automação
por harry0703
Creates an SVG weather card showing the current temperature for Dubai. Writes the SVG to orchestration-workflow/weather.svg and updates orchestration-workflow/output.md.
Automação
#ai
por shanraisshan
Automate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.
Automação
#git
#github
por sickn33
Integrate Stripe, PayPal, and payment processors. Handles checkout flows, subscriptions, webhooks, and PCI compliance. Use PROACTIVELY when implementing payments, billing, or subscription features.
Automação
#git
#github
por sickn33
Alerta por categoria
1 email curto, só com as skills novas de Automação. 4 minutos de leitura, sem spam, cancela com 1 clique.
Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.
Ler descrição completa Recolher descrição
Network Meta-Analysis Methodology
Comprehensive methodological guidance for conducting rigorous network meta-analysis following NICE DSU and PRISMA-NMA guidelines.
When to Use This Skill
Planning a network meta-analysis Assessing transitivity and consistency Interpreting treatment rankings Choosing between frequentist and Bayesian NMA Designing NMA sensitivity analyses Reviewing NMA code or results
Fundamental Assumptions
1. Transitivity Assumption
Definition : I
[Description truncada. Veja o README completo no GitHub.]
Compartilhar
X
LinkedIn
Copiar link