Our biostatistical programming services support:
- Pharmaceutical and biotechnology companies
 - Clinical Research Organizations (CROs)
 - Academic and research institutions
 - Healthcare organizations
 - Regulatory and government bodies
 
We use industry-standard platforms, including:
				- SAS® (primary tool for clinical trial programming)
 - R / R Studio for advanced statistical methods
 - Python for automation and analytics
 - SPSS, STATA for specific research and analysis needs
 
Depending on project requirements, we provide:
				- SDTM and ADaM datasets
 - Tables, Listings, and Figures (TLFs)
 - Statistical Analysis Plans (SAPs)
 - Programming validation reports
 - Submission-ready datasets, documentation, and reports
 
Yes. Our biostatistical programming strictly adheres to:
				- ICH E9 – Statistical Principles for Clinical Trials
 - CDISC standards – SDTM and ADaM dataset creation
 - FDA and EMA submission requirements
 - 21 CFR Part 11 for data handling and programming
 
								






								
															
															
			
			
			
			
			
			
                        
                        
                        
                        
 
                        
                        
 
 
 
 
 
															



                
          
                
          
                
          

