Informing COVID-19 Policies Using Modeling
Epidemiological models to understand the potential impact of the vaccines and therapeutics
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Intersection of Machine Learning and Health Economics
Our team presented multiple workshops on machine learning for health economics and outcomes research
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ICER Tool
Examine costs and health outcomes of interventions
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Using evidence-based approaches,
Value Analytics Labs provides customized solutions
to our customers.
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Peer-reviewed Publications
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Conference Abstracts
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Country-level Modeling
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Years of Experience
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Disease
Areas
Areas
Clients
Expertise
Our team has a strong scientific background and deep understanding of your current and future needs.
Health Economic Modeling
- Cost-Effectiveness Analysis
- Cost-Utility Analysis
- Budget-Impact Analysis
- Web-Based Modeling
- Early Decision Modeling
- Multi-Criteria Decision Analysis
Health Technology Assessment Submissions
- Value Dossier
- Review of ICER Reports
- Value-Based Contracting
Real-World Evidence, Healthcare Analytics and AI/ML
- Real-World Evidence Generation Using Artificial Intelligence/Machine Learning (AI/ML)
- Hypothesis Evaluating Treatment Effectiveness (HETE) Studies
- Data Visualization and Dashboards
- AI/ML-Driven Clinical Trial Design
- Web and Phone/Tablet Apps
Clinical Trial Support
- Survival Analysis
- Cost-Effectiveness Analysis Alongside Clinical Trials
- Trial Design Using Value of Information Analysis
Publication and Writing Support
- Manuscripts
- Scientific Posters and Presentations
- Dossiers
Comparative Effectiveness Studies
- Systematic Reviews
- Meta-Analysis
Journals
We are a global team of health economics
scientists with a collective enthusiasm
to create a culture of integrity, teamwork,
and diversity, where you will make a difference.
News & Events
Lambda Vs. Delta Variants—What to Know As New Forms of COVID Spread in U.S.
What is clear is that more variants will emerge if people remain susceptible to catching COVID-19 in the first place, said Jagpreet Chhatwal, an assistant professor at Harvard Medical School.
Provincetown Becomes Test Case For Vaccines And Delta Variant
Jagpreet Chhatwal, a lead investigator of the COVID-19 simulator, which models the potential future of coronavirus infection and death based on behavior changes
Machine learning in the real-world evidence and HEOR fields: an interview with Turgay Ayer, Jag Chhatwal and Selin Merdan
In this joint interview feature, following their workshop delivered at the International Society for Pharmacoeconomics and Outcomes Research’s 2020 Asia Pacific meeting (Virtual ISPOR Asia Pacific 2020; 14–16 September), Turgay Ayer (Georgia Tech, GA, USA), Jag Chhatwal (Massachusetts General Hospital, MA, USA) and Selin Merdan (Value Analytics Lab, GA, USA) discuss the practicalities of applying machine learning (ML) in the real-world evidence and health economics and outcomes research (HEOR) fields.
We are focused on delivering customized and proactive solutions that make difference.
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