Data Analytics
& Data Science
As the volume of data grows exponentially, alongside increasing demands from health authorities for transparency and evidence, it is essential to determine the right data to generate meaningful and accurate evidence demonstrating the value of your product.
We prioritize equipping our clients with a thorough understanding of the methodology, risks, and opportunities at every stage of any analysis we conduct. This commitment ensures that go/no-go decisions are informed by robust, reliable evidence. Whether analyzing efficacy or safety data, patient-reported outcome (PRO) data or real-world evidence (RWE), our team collaborates with you to identify the most relevant data and create compelling and robust evidence that strengthens your product's value proposition.
Feasibility assessment for Indirect Treatment Comparisons
Indirect Treatment Comparisons using aggregated (Bucher’s ITC, NMA) or individual patients data (MAIC or STC)
Post-hoc Statistical Analyses of clinical trial data
Health state utility mapping/cross walks
Analysis of Patient-Reported Outcomes
Real-World Evidence generation planning
Statistical Analyses Plan and Results
Feasibility assessment for Indirect Treatment Comparisons
Indirect Treatment Comparisons using aggregated (Bucher’s ITC, NMA) or individual patients data (MAIC or STC)
Post-hoc Statistical Analyses of clinical trial data
Health state utility mapping/cross walks
Analysis of Patient-Reported Outcomes
Statistical Analyses Plan and Results
Real-World Evidence generation planning