Clinical SAS Programming & Data Standardization
SDTM (Study Data Tabulation Model) and ADaM (Analysis Data Model) are the FDA's standard formats for clinical trial data submissions. They ensure your datasets are structured, compliant, and submission-ready from day one.
Why It Matters
Regulatory submissions demand standardized, audit-ready datasets. Non-compliant data delays approvals, triggers FDA questions, and increases costs. VClinical Biostats delivers CDISC-compliant datasets that pass regulatory scrutiny and accelerate your path to approval.
What We Deliver
- SDTM Mapping & Programming: Complete domain mapping (demographics, vital signs, labs, adverse events, etc.) with full CDISC restricted terminology compliance.
- ADaM Dataset Creation: Derivation of analysis datasets (ADSL, ADAE, ADLB, ADTTE, etc.) with fully documented specifications and SAS code.
- Reviewer's Guides: SDTM and ADaM Reviewer's Guides explaining dataset structure, variable definitions, and derivation logic for FDA reviewers.
- Pinnacle 21 Validation: Automated validation using Pinnacle 21 Community (and Enterprise if needed) to identify and resolve compliance issues before submission.
- CRF Annotation & Validation: Detailed CRF annotation linking source data to SDTM variables, ensuring data traceability and audit readiness.
Every deliverable is peer-reviewed and quality-assured to meet FDA submission standards. Our team combines deep SAS expertise with regulatory knowledge to ensure your data is not just compliant, but optimized for review efficiency.
Regulatory Submission Services
From FDA submission package assembly to Define.xml preparation, we handle the critical documentation that gets your trial data across the regulatory finish line. Our submission-ready deliverables are built on CDISC compliance and FDA requirements from day one.
FDA Submission Package Preparation
We assemble complete, compliant FDA submission packages that meet regulatory expectations and accelerate review timelines. Every component is validated and organized for seamless submission.
- End-to-end package assembly — datasets, documentation, and supporting files organized per FDA specifications
- Quality validation — every component checked for completeness and regulatory compliance
- Submission-ready formatting — data and documentation prepared exactly as FDA expects
- Audit trail documentation — complete traceability for regulatory review
Define.xml Preparation
Define.xml is the FDA's required documentation of your dataset structure, variables, and standards compliance. We create submission-grade Define.xml files that pass validation and support regulatory review.
- CDISC-compliant structure — full adherence to ODM-XML and Define-XML standards
- Complete variable documentation — every variable fully described with codes, formats, and origins
- Validation and testing — XML validated against FDA schemas and tested for errors
- Standards mapping — clear traceability to SDTM, ADaM, and CDISC terminology
Study & Analysis Data Reviewer's Guides (SDRG/ADRG)
Reviewer's guides are the FDA's roadmap to your datasets. We create comprehensive SDRG and ADRG documents that explain dataset structure, variable definitions, and compliance decisions.
- SDRG preparation — detailed guide to SDTM structure, variable derivations, and mapping logic
- ADRG preparation — comprehensive documentation of ADaM datasets, analysis variables, and population definitions
- Standards justification — clear explanations of CDISC decisions and deviations
- Regulatory readiness — guides formatted and detailed to FDA expectations
ISS/ISE & Multi-Study Support
For integrated safety summaries (ISS) and integrated efficacy summaries (ISE), we handle the complex work of pooling and standardizing datasets across multiple studies while maintaining regulatory compliance.
- Multi-study dataset pooling — combining datasets from multiple trials with standardized variable structures
- ISS/ISE preparation — integrated summaries built to FDA specifications and safety review requirements
- Harmonization and validation — ensuring consistent standards across all pooled datasets
- Traceability documentation — clear audit trails for integrated data sources and derivations
Why Submission-Ready Matters
Faster Regulatory Review
FDA reviewers expect complete, organized submissions. Our packages eliminate delays caused by missing documentation or formatting errors.
Reduced Risk of Deficiencies
Submission deficiencies delay approvals and require costly rework. We validate every component to prevent FDA information requests.
Compliance Confidence
Our submission packages are built on CDISC standards and FDA guidance from the start, ensuring regulatory compliance across every element.
Ready to Prepare Your Submission?
Let's discuss your regulatory timeline and submission requirements.
Clinical Data Management & Operations
Reduce sponsor burden and keep complex multi-site trials on track. VClinical Biostats provides comprehensive study coordination, resource planning, and project management support—so your team can focus on regulatory strategy and patient outcomes.
Study Setup & Planning
- Study folder structure and documentation setup
- Timeline planning and milestone management
- Budget hour calculation and resource allocation
- Project workflow optimization and governance setup
Study Coordination
- Meeting coordination and agenda management
- Study tracker maintenance and status reporting
- Progress updates and stakeholder communication
- Issue tracking and risk mitigation support
Project Management Support
- Study lead activities and oversight coordination
- Timeline management and deadline tracking
- Risk mitigation and contingency planning
- Clinical operations workflow optimization
Statistical Analysis & CSR Support
From Tables, Listings & Figures to comprehensive Clinical Study Report review, VClinical Biostats delivers the statistical rigor and analytical depth your clinical trials demand. Our expertise spans pharmacokinetic modeling, meta-analysis coordination, and regulatory-grade output production—all designed to accelerate your path to submission.
Statistical Programming
Transform raw data into publication-ready outputs with precision and speed. Our statistical programming team specializes in creating compliant, audit-ready deliverables.
- • Tables, Listings & Figures (TLF) Production: CDISC-compliant tables, safety listings, efficacy summaries, and publication-quality figures.
- • Output Production & Validation: SAS-generated outputs with full traceability, validation protocols, and quality assurance review.
- • Macro Creation & Automation: Custom SAS macros to streamline repetitive programming tasks and ensure consistency across analyses.
- • Annotated TLF Shells: Specification-driven shells with full source code traceability and regulatory readiness.
Pharmacokinetic & Pharmacodynamic Analysis
Expert PK/PD modeling and analysis to understand drug behavior, optimize dosing strategies, and support regulatory submissions.
- • Pharmacokinetic Modeling: Population PK analysis, nonlinear mixed-effects modeling, and exposure-response relationships.
- • Pharmacodynamic Analysis: Dose-response assessment, biomarker relationships, and PD/PK linkage studies.
- • Special Population Analysis: PK/PD evaluation in pediatric, geriatric, hepatic, and renal impairment populations.
- • Drug-Drug Interaction Studies: Analysis of PK interactions and clinical relevance assessment.
Meta-Analysis Support
Synthesize evidence across multiple studies to generate robust, regulatory-grade conclusions for ISS/ISE submissions and integrated efficacy/safety summaries.
- • Systematic Data Extraction: Standardized data collection from multiple trials with validation and quality checks.
- • Statistical Meta-Analysis: Fixed and random-effects modeling, heterogeneity assessment, and sensitivity analysis.
- • Forest Plots & Integrated Summaries: Publication-quality graphics and integrated safety/efficacy tables across trial populations.
- • Integrated Safety Summaries (ISS/ISE): Comprehensive safety and efficacy synthesis for regulatory submissions.
Clinical Study Report Statistical Review
Independent, expert statistical review of Clinical Study Reports to ensure analytical integrity, regulatory compliance, and scientific soundness before submission.
- • Statistical Methods Review: Validation of analysis plans, statistical approaches, and regulatory alignment (ICH E9, FDA guidance).
- • Data Integrity & Completeness: Assessment of dataset quality, missing data handling, and population definitions.
- • Results Verification & Interpretation: Independent recalculation checks, sensitivity analysis review, and conclusion alignment with data.
- • Submission Readiness Assessment: Regulatory compliance review and identification of gaps or issues before FDA submission.
Why VClinical Biostats for Statistical Excellence
Deep Statistical Expertise
Our biostatisticians and statistical programmers combine advanced degrees with 5+ years of clinical trial experience. We understand both the science and the regulatory expectations.
Regulatory Compliance by Default
Every analysis follows ICH E9, FDA guidance, and CDISC standards. Audit trails, validation protocols, and quality checks are built into every deliverable.
Rapid Turnaround
With our Austin + India team model, we deliver results faster. Parallel processing, efficient workflows, and 24/7 coverage mean your analyses move at trial speed.
Quality Assurance Built-In
Independent peer review, validation protocols, and Pinnacle 21 compliance checks ensure every output meets FDA submission standards.
Collaborative Partnership
We work closely with your statistical teams, not as a black box. Regular communication, transparent methods, and joint problem-solving ensure alignment with your trial strategy.
Cost-Effective Delivery
Our global model delivers statistical expertise at 40–50% cost savings compared to traditional consulting firms, without compromising quality or compliance.
Ready to Elevate Your Statistical Analysis?
Whether you need PK/PD modeling, CSR statistical review, or end-to-end statistical programming, our team is ready to deliver regulatory-grade results on your timeline.