Individual skill
science-reporting-standards
Use when preparing a submission, when a reviewer asks for CONSORT/PRISMA/STROBE/ARRIVE/TRIPOD items, when the journal demands data/code availability statements, or when an audit reports blocking findings; covers which standard applies to which design and what each one actually requires.
dsh-science/skills/science/science-reporting-standards/SKILL.md
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SKILL.mdcore · 3,865 bytes
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# 报告规范：审稿人手里的核对表
## 先选对规范（选错等于白写）
| 你的研究 | 规范 | 关键条目（缺了必被要求补） |
|---|---|---|
| 随机对照试验 | **CONSORT** | 注册号、随机化方法与分配隐藏、盲法、主要结局、受试者流程、样本量估算、ITT、不良事件 |
| 系统综述 / meta | **PRISMA** | 方案预注册（PROSPERO）、数据库与检索式、筛选流程、偏倚风险、异质性、发表偏倚 |
| 队列 / 病例对照 / 横断面 | **STROBE** | 设计类型、纳排标准、混杂处理、缺失数据、敏感性分析 |
| 动物实验 | **ARRIVE 2.0** | 物种品系、饲养条件、人道终点、随机分组（含笼效应）、评估设盲 |
| 预测模型 | **TRIPOD** | 预测因子定义、区分度**与**校准、内部/外部验证、EPV 或最小样本量 |
| 质性研究 | COREQ / SRQR | 研究者立场、抽样策略、资料饱和、编码与可信度 |
## 任何投稿都要有的四段声明