SkillsLib.ai

Clinical Trial Statistical Analysis Plan (SAP) Developer

Draft and validate regulatory-compliant Statistical Analysis Plans

3.0(6 reviews)
100+ downloads
Updated Sep 2026

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

Automated SAP Section Generation

Generates all required SAP sections including objectives, populations, statistical methods, handling of missing data, and multiplicity adjustments aligned with ICH-E9 guidance

Regulatory Compliance Validation

Checks SAP content against FDA and ICH-E9 requirements, identifies missing regulatory elements, and flags non-compliant statistical approaches

Statistical Method Soundness Review

Evaluates proposed statistical analyses for methodological rigor, appropriateness to trial design, and adherence to regulatory expectations

Protocol-SAP Consistency Verification

Cross-references SAP against trial protocol to ensure analyses match stated endpoints, populations, and primary/secondary objectives

Gap Identification and Reporting

Produces a detailed gap report listing incomplete sections, missing specifications, and areas requiring biostatistician input

Sample Size Justification Review

Validates sample size calculations, power assumptions, and rationale for patient accrual targets

Type I Error Control Assessment

Reviews multiplicity adjustments and significance testing hierarchy to ensure appropriate alpha allocation and control strategies

Pre-Submission Readiness Scorecard

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

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