Services
Research & Study Design Expertise
Columbia Data Analytics offers real-world evidence research, insights and interdisciplinary support using retrospective and prospective data:
- Outcomes & Market Access Research
- Economic Modeling, AI / Machine Learning Algorithms
- Burden of Illness, Treatment Effect, Patient Journey, Healthcare Utilization & Costs
- Comparative Effectiveness Research
- Post-marketing Studies
- Healthcare Policy Impact Analysis
- Data Source Evaluation
- Rare Disease and Advanced Therapy Analysis
- External Comparator Arm Studies
- Systematic Literature Review, Network Meta-Analysis
- Seminars and Training
To learn more about our projects and experience, review our publications here.
EVIDENCE SYNTHESIS
Plan, manage, conduct and analyze healthcare projects using various strategies and designs including literature review, meta-analysis and economic modeling
MODELING & ANALYTICS
Strategic guidance on economic modeling, AI/machine learning algorithms, microsimulation, evaluation of data source in support of defined use cases
CLINICAL STUDY DESIGN
Wide range of complex healthcare studies: Clinical trial (standard, adaptive, pragmatic) data analysis Observational (case-control, cohort, complex survey, registry, EMR, real-world) study design & analysis
EXTERNAL CONTROL ARM STUDIES
ECAs can encompass a larger cohort than that of the corresponding clinical trial; the substantial scale of this real-world evidence provides robust support for treatment effects
PUBLICATIONS
Our medical writers prepare journal articles, poster presentations for national and international conferences, and company presentations
OUTCOMES RESEARCH
Quantify disease burden, treatment effects, patient journey, comparative effectiveness, healthcare costs & utilization
HEALTH CARE POLICY
Healthcare policy impact on patient utilization, cost, health outcomes & access to care
RARE DISEASE
Evidence on rare disease & advanced therapies
