
Clinical Trial Statistical Analysis Plan (SAP) Developer
Draft and validate regulatory-compliant Statistical Analysis Plans
What You Can Do
You can leverage this skill to automatically draft comprehensive Statistical Analysis Plans (SAPs) for clinical trials that meet ICH-E9 and FDA regulatory standards. The skill reviews your trial protocol and generates all required SAP sections, validates statistical methodologies against best practices, identifies completeness gaps, and produces a regulatory-ready assessment before submission.
Features
Generates all required SAP sections including objectives, populations, statistical methods, handling of missing data, and multiplicity adjustments aligned with ICH-E9 guidance
Checks SAP content against FDA and ICH-E9 requirements, identifies missing regulatory elements, and flags non-compliant statistical approaches
Evaluates proposed statistical analyses for methodological rigor, appropriateness to trial design, and adherence to regulatory expectations
Cross-references SAP against trial protocol to ensure analyses match stated endpoints, populations, and primary/secondary objectives
Produces a detailed gap report listing incomplete sections, missing specifications, and areas requiring biostatistician input
Validates sample size calculations, power assumptions, and rationale for patient accrual targets
Reviews multiplicity adjustments and significance testing hierarchy to ensure appropriate alpha allocation and control strategies
Generates a completeness score and regulatory readiness assessment, highlighting priority items before regulatory submission
Example Output
Generated SAP Outline:
- Primary Efficacy Analysis: Two-way ANOVA with pre-specified contrasts for dosing strategy comparison
- Missing Data: Last observation carried forward (LOCF) with sensitivity analyses using multiple imputation
- Type I Error: Bonferroni-adjusted alpha of 0.025 across two primary endpoints
- Sample Size: 450 patients (225/arm) provides 90% power to detect 30% superiority margin
Regulatory Readiness Score: 78/100
- ✓ Complete population definitions
- ✓ Comprehensive analysis plan
- ✗ Missing interim futility rules (add Section 7.3)
- ✗ Subgroup analysis strategy requires specification
What's Included
- ICH-E9 Compliant SAP Template: Pre-structured template with all required sections for statistical analysis planning in clinical trials
- Regulatory Compliance Checklist: Detailed checklist of FDA and ICH-E9 requirements to validate before submission to regulatory authorities
- Statistical Method Validator: Tool to assess appropriateness of proposed statistical methods for your specific trial design and endpoints
- Protocol-SAP Cross-Reference Tool: Links SAP sections back to protocol requirements to ensure consistency and traceability
- Regulatory Readiness Scorecard: Automated scoring system that identifies gaps and prioritizes missing elements before regulatory submission
Who It's For
- Biostatisticians and Clinical Trial Statisticians
- Regulatory Affairs Specialists
- Protocol Development and Clinical Operations Managers
- Clinical Research Coordinators and Trial Directors
Best For
- Initial SAP drafting from protocol specifications
- Comprehensive SAP review and regulatory gap analysis
- Validation of statistical methodologies against trial design
- Preparation for FDA and regulatory submissions
- Impact assessment of protocol amendments on SAP







