Experiment Design
Designs methodologically rigorous scientific experiments and research studies following NIH rigor standards and best practices.
The Experiment Design skill empowers researchers to architect high-quality studies by providing a structured framework for methodology, internal validity, and statistical rigor. It guides users through critical elements such as hypothesis formation, power analysis justification, randomization methods, and blinding protocols. By adhering to NIH rigor standards and supporting various experimental designs—from randomized controlled trials to factorial and crossover studies—this skill ensures that research plans are robust, reproducible, and ready for grant submission or pre-registration.
主な機能
01Implementation of randomization and blinding protocols
02Structured frameworks for RCT, factorial, and crossover designs
032 GitHub stars
04Sample size justification through power analysis
05Comprehensive NIH rigor and reproducibility checklist
06Defined primary and secondary outcome mapping
ユースケース
01Developing methodologically sound grant proposals
02Drafting pre-registration documents for research studies
03Ensuring internal validity and scientific rigor in pilot experiments