Clinical SAS (Statistical Analysis System) is a specialized data management and analysis tool used in the pharmaceutical, biotechnology, and clinical research industries. It plays a vital role in managing, analyzing, and reporting clinical trial data submitted to regulatory authorities such as the FDA (U.S. Food and Drug Administration) or EMA (European Medicines Agency).
SAS Programming and Data Analysis
At Freelane Technologies, our SAS Programming and Data Analysis services are designed to help clients manage and analyze clinical trial data with precision and efficiency. We develop and execute robust SAS programs for data cleaning, transformation, and validation to ensure accuracy and consistency. Our team ensures that every dataset meets global regulatory and CDISC standards, preparing it for smooth submission to agencies like the FDA and EMA. By maintaining high data integrity, we support clients in achieving reliable and reproducible study results.
Our expert SAS programmers at Freelane Technologies collaborate closely with biostatisticians and clinical teams to deliver accurate statistical outputs and insightful analyses. We focus on transforming raw clinical data into meaningful information that supports decision-making throughout the drug development process. With our commitment to quality and compliance, we help clients streamline their clinical research workflows and accelerate their time to regulatory approval.
Tables, Listings, and Figures (TLF)
At Freelane Technologies, our Tables, Listings, and Figures (TLF) Generation services ensure precise and professional presentation of clinical trial results. We create high-quality TLF outputs that summarize study data in a clear, accurate, and compliant format. These TLFs are essential components of Clinical Study Reports (CSRs) and are designed to meet FDA and EMA submission standards. Our team follows strict validation procedures to ensure every table, listing, and figure reflects true study outcomes without discrepancies.
Our experienced SAS programmers at Freelane Technologies use standardized templates and automated processes to improve efficiency and consistency across studies. We ensure that all clinical outputs are not only compliant but also visually clear and easy to interpret. By providing reliable and submission-ready TLFs, we help sponsors and CROs streamline their reporting process and deliver accurate insights that support faster regulatory approvals.
Data Validation and Quality Control
At Freelane Technologies, our Data Validation and Quality Control services focus on ensuring that every dataset meets the highest standards of accuracy and reliability. We perform thorough checks to identify inconsistencies, missing values, and data discrepancies before analysis or submission. Our validation process ensures datasets are complete, accurate, and fully aligned with CDISC and regulatory requirements. By maintaining strict quality controls, we help clients minimize risks of data errors and ensure compliance with global clinical research standards.
Our expert team at Freelane Technologies uses advanced validation techniques and automated tools to streamline the quality assurance process. Each dataset undergoes multiple levels of review to confirm data integrity and readiness for statistical analysis or regulatory submission. Through our meticulous validation framework, we ensure that clinical trial data is dependable, audit-ready, and supports confident decision-making throughout the drug development lifecycle.