Advancing Clinical Research Through Data, Statistics & Technology
50+
Healthcare Professionals
500+
Standardized Programs
250+
SAS Macros
Quality
Focused Delivery
Transforming Clinical Data into Meaningful Evidence
At StatsLibs, we combine clinical research expertise, statistical methodology, programming capabilities, clinical data standards, and regulatory knowledge to transform complex clinical data into reliable evidence.
Our integrated approach supports the clinical development lifecycle from study design and data standardization through statistical analysis, reporting, and regulatory documentation.
Our Clinical Research Expertise
Comprehensive expertise across statistics, programming, clinical data standards, and regulatory documentation.
Biostatistics
Statistical Programming & Analysis
Clinical Data Standards
Regulatory Medical Writing
Study design, statistical methodology, sample size considerations, statistical analysis plans, statistical analysis, and interpretation of clinical data.
SAS programming, statistical analysis, tables, listings and figures, programming standards, analysis datasets, reporting, and independent validation.
CDISC-based clinical data standardization including SDTM, ADaM, Define-XML, annotated CRFs (aCRFs), and submission-oriented clinical data structures.
Protocols, clinical study reports, patient narratives, clinical summaries, investigator brochures, and regulatory documentation.
01
02
03
04
Plan
Program
QC
Deliver
Define study objectives, data collection, and analysis strategies.
Develop SAS programs for data processing, analysis, and reporting.
Conduct independent quality control checks for accuracy and completeness.
Deliver accurate, documented, and submission-ready outputs.
Perform rigorous validation against specifications, standards, and regulatory requirements.
Conduct final review for consistency, traceability, and completeness.
05
06
Validate
Review
