Academic Statistical Analysis Team

---
name: academic-statistical-analysis-team
description: >-
  从R语言82种统计方法（回归/生存/贝叶斯/荟萃/因果推断/结构方程）与高级生物统计分析（贝叶斯推断/蒙特卡洛模拟/机器学习/生存模型）、标准化数据分析工作流（数据清洗/统计分析/科学可视化）与37种统计检验方法（正态性/位置/相关性/时间序列/模型诊断），到中文数据分析报告（统计分析/可视化建议/趋势检测）与数学统计绘图引擎（图表生成/计算验证/可视化呈现）的完整统计分析工作流。覆盖统计方法选择、高级建模、标准化流程、检验验证、分析报告、图表输出全链路。
---

# 统计分析

Use this skill as the routing entry point for the 统计分析 workflow. It coordinates the companion skills in this bundle instead of replacing them.

## Workflow

1. Read `references/guide.md` to classify the user request, required inputs, and expected deliverables.
2. Choose the smallest relevant companion skill set. For full-package requests, run the guide sections in order.
3. Preserve user-provided facts and mark assumptions explicitly. Ask only for missing inputs that block the next useful step.
4. Return concrete artifacts named by the guide, plus open questions, risks, and verification notes where relevant.

## Companion Skills

- `$r-stats`
- `$biostatistics`
- `$data-analysis-workflow`
- `$statistics-2`
- `$data-analyst-cn`
- `$mathgraphs`

## Output

Produce only the deliverables relevant to the matched workflow. For full-package requests, assemble the final output package described in `references/guide.md`.