Services
End‑to‑end analytics from design to decision, grounded in transparent, reproducible methods.
Biostatistics & Study Design
- Protocol consultation and Statistical Analysis Plans (SAPs)
- Power and sample size; randomization and estimands
- Interim looks, DSMB support, alpha‑spending approaches
- Outcome definitions, missing‑data strategy, sensitivity analyses
Clinical Trials & Regulatory
- Reproducible pipelines for primary/secondary endpoints
- Mixed models, longitudinal and survival (incl. competing risks)
- Submission‑ready TLFs and audit‑ready documentation
- GxP‑aware processes and traceable code artifacts
Real‑World Evidence (RWE)
- Claims/EHR curation, phenotyping, and data quality checks
- Causal inference: propensity methods, IPTW, IVs, DiD
- Geospatial access and network travel‑time modeling
- Safety‑net care, cancer disparities, chronic disease surveillance
Predictive Modeling & Risk Tools
- Risk scores, calibration, internal validation (bootstrap/CV)
- Time‑to‑event models; dynamic predictions
- Clinician‑facing calculators with documented limitations
- Model monitoring and periodic recalibration
HEOR & Health Economics
- Cost‑effectiveness, budget impact, and scenario analysis
- Resource use modeling from large administrative datasets
- Economic evaluation for technology and policy decisions
Qualitative & NLP
- Codebook development, inter‑rater reliability and consensus
- Qualitative content analysis of patient/provider text
- Sentiment and topic modeling to complement quant findings
Data Engineering & Governance
Versioned datasets, reproducible research compendia, and privacy‑first workflows. We routinely operate within HIPAA‑aligned frameworks, de‑identify datasets when possible, and document assumptions and transformations for auditability.
