Statistical programming

Decode your clinical data with compliance for better analysis

Code your way through the complexity of your clinical studies to derive insights in a streamlined process at scale and speed.

Statistical programming is essential for organizations in pharma, biotechnology, life sciences and nutraceutical industries to analyze and interpret clinical data to evaluate efficacy and safety of drugs and medical devices. IQA’s specialized statistical programming services are designed to support clinical trials of all sizes and types including parallel, crossover, multi-phase and PK/PD studies, real world evidence in addition to several therapeutic areas. We possess a strong team of statistical programmers, who can extend support in analyzing clinical trial data with accuracy and on time.

IQA’s statistical programmers will meet every statistical need including the creation and QC of regulatory submission-ready analysis datasets and the production of TLFs (Tables, Listings, and Figures) working closely with our Biostatistics team. Further, we conduct quality control for analysis datasets and TLFs independently to make sure biostatisticians receive accurate results for final review.

At IQA, we have established a stringent and streamlined process to enable our team to convert heterogeneous data into unified metadata model to create TLFs for easy evaluation of efficacy and data integrity. Our outputs are in line with regulatory guidelines including SOPs and ICH. Moreover, our team is highly flexible in generating any types of reports whether based on our standard format or sponsor-specific templates.

Our Statistical Programming services

IQA Statistical Programming services include many ad hoc analyses for publication summaries and external/internal review meetings. Also, you get access to a team that is adaptable to industry changes, implementing latest advances in compliances, standards, technology, and industry requirements for efficient clinical data handling.

Innovate the way your clinical trial data is analyzed

Let us help you manage criticalities and compliances of processing volumes of clinical trial data through efficient programming models.

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