SAS programming is widely trusted for its reliability, precision, and compliance with strict regulatory standards in clinical and healthcare research. It enables efficient data management, statistical analysis, and reporting for large-scale studies, ensuring that every step meets industry guidelines and quality requirements for accurate, reproducible results.
Our SAS services cover everything from data cleaning and transformation to advanced statistical modelling and report generation. We deliver well-documented, validated code along with clear outputs and interpretations, helping researchers and organizations meet submission standards for regulatory bodies while maintaining high analytical accuracy.
Mixed models for repeated measures, random effects, MMRM for clinical trials.
Logistic, Poisson, negative binomial, GEE for binary and count outcomes.
Kaplan-Meier survival curves, log-rank, Cox proportional hazards regression.
Exploratory factor analysis and confirmatory SEM/path analysis.
We review your raw data, variable list, and analysis plan. Data cleaning using PROC SORT, DATA step, and PROC FORMAT.
Statistical Analysis Plan (SAP) reviewed or written; test selection, estimands, and handling of missing data agreed upfront.
Validated SAS programs written with full log checks no NOTE/WARNING/ERROR lines. Double-programming available on request.
RTF/PDF output tables formatted to CSR standards or journal style. ODS EXCEL, ODS RTF for clean deliverables.
Written statistical summary in APA or ICH E9 format with clinical/scientific interpretation of all key findings.
CDISC standards, SDTM, ADaM, TFL generation, and regulatory submissions.
Mixed models, repeated measures, GEE, survival analysis, and multivariate techniques.
Efficient data cleaning, merging, reshaping, and quality assurance using PROC SQL and DATA steps.
RTF, PDF, and Excel outputs with ODS, ready for publication or regulatory review.
Clean logs with zero unexplained NOTEs or WARNINGs essential for regulatory submissions.
Our team holds SAS Base and Advanced certifications with clinical trial programming experience.
ODS-formatted tables matching CSR/journal submission standards no manual reformatting needed.
Independent double-programming and QC comparison for studies requiring validated analysis.