Unlock deeper insights with expert research and analytics services
Harness the power of real-world evidence with a partner you can trust.
MarketScan Research & Analytics Team
A full spectrum of real-world evidence generation
Our team provides comprehensive research services to generate the evidence you need on treatment value, disease prevalence, and regulatory requirements. We partner with you to provide the intelligence required for everything from product messaging to post-authorization studies. MarketScan's history is built on building, knowing, and maximizing the potential of best-in-class data.
25+
The MarketScan Research & Analytics team brings over 25 years of experience to every project. We use scientifically robust algorithms and unparalleled expertise to help you navigate complex health questions and drive better outcomes.
The evidence you need
Comprehensive research services
Outcomes research
Generate critical evidence on the value of specific treatments and interventions for providers, payers, and other industry stakeholders.
- Comparative effectiveness
- Burden of illness
- Treatment patterns and sequences
- Adherence and persistence
- Time to treatment
Epidemiology
Understand real-world disease prevalence and management practices to inform your strategy.
- Natural history of disease
- Patient journeys
- Prevalence and incidence
- Surveillance and adverse events
- Infection rates
Regulatory support services
Leverage real-world evidence to support regulatory approvals and fulfill post-authorization requirements.
- Clinical trial optimization
- External control arms
- Label expansions
- Post-authorization safety studies
- Mother-infant linkage studies

Advanced Statistical Support
Assistance with complex data challenges
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Cost modeling: Utilize advanced regression models to handle cost outcomes, including methods for zero costs and outliers.
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Machine learning: Apply methods like penalized regression (LASSO) and tree-based models for high-dimensional data.
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Comparative effectiveness: Compare treatments using matching, weighting, and doubly robust estimation.
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Time-to-event analysis: Employ Kaplan-Meier, Cox models, and other methods for survival analyses.
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Rare event modeling: Use boosted regression models and resampling methods for analyzing infrequent events.
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Why choose the MarketScan research team?
Let's build your research solution
Connect with our team to discuss your research questions. We can help you design and execute a study tailored to your specific needs.