Statistical programming in clinical trials is a vital component of all drug development. Whether you are a Large Pharma, Mid-size Pharma, Biotechnology, Device or Nutraceutical company, you will need to turn your validated data into interpretable information ready for biostatistical analysis.
Statistical Programming enables clinical trial reporting via the creation of regulatory submission ready analysis datasets and production of Tables, Listings and Figures (TLFs). These deliverables help you understand the safety and efficacy of your investigational product and the outcomes of your trial hypotheses.
Quanticate will rapidly resource any studies that you require additional support or expertise on so you can meet your regulatory approval milestones with submission ready deliverables.
Our statistical programmers will seamlessly integrate into your existing team or can form a whole new department depending on your resourcing requirements. Our programmers also work side by side our biostatistics department who have over 25 years of experience which enables us to provide you with additional statistical advise across your studies.
Our statistical programming department is the largest department within Quanticate with over 100 programmers across the globe and a high proportion of senior presence in all regions.
Ensure your trial reporting is accurate and timely with the latest automations and innovative programming techniques in clinical trials.
By Using the Python, R programming and various SAS studio platforms, you will receive accurate and timely deliverables.
Our statistical programmers can:- Semi-automated SDTM mapping
Karen Ooms is responsible for overseeing the Statistics department at Quanticate. Karen is a Chartered Fellow of the Royal Statistical Society and has a background in biostatistics spanning over 25 years.