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