clinical-research
CommunityReview clinical manuscripts for design and bias.
Education & Research#reporting#epidemiology#study-design#manuscripts#bias-assessment#clinical-review#safety-claims
AuthorAvaivartika
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Review clinical, biomedical, epidemiology, and health AI manuscripts for study design, reporting, bias, outcomes, and safety claims.
Core Features & Use Cases
- Identify study type, population, inclusion/exclusion criteria, endpoints, and follow-up.
- Check confounding, missing data, calibration, external validation, and subgroup analysis.
- For predictive models, check leakage, temporal validation, decision threshold, and clinical utility.
- Provide structured feedback and cautious language to improve reporting.
Quick Start
Review the attached manuscript for methodological quality and reporting.
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: clinical-research Download link: https://github.com/Avaivartika/jiaoleaf-ai/archive/main.zip#clinical-research Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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