Services
Research & Study Design Expertise
Value, Access and Outcomes
Columbia Data Analytics provides insights and interdisciplinary support using retrospective and prospective data.
- Epidemiological studies
- Systematic and literature reviews
- Meta-analyses
- Analysis support for preclinical trials
- Real-world evidence generation and FDA submission preparation
- Statistical analysis, including AI-based modeling
- Attrition, descriptive and multivariate analyses
- Editorial and publication support, including presentation materials
- Ad-hoc statistical support
- External control arm analyses
To learn more, read our latest publications and presentations.
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
