Our services span the full range of statistical work, from core biostatistics to advanced methods and capacity building, and are available in any of our engagement models.

Core biostatistics

Across the full spectrum of development, from preclinical studies to post-licensure:

• Study design and protocol development: objectives and endpoint specification, sample size determination, and statistical analysis plans
• Pre-specified analyses: primary, secondary, and exploratory
• Post hoc analyses: scoping, execution, and interpretation
• Technical writing and review: manuscripts, reports, proposals, and abstracts
• Independent statistician on Data Safety Monitoring Boards

Real-world and observational data

• Real-world evidence generation, including post-marketing and post-licensure studies
• Auxiliary data identification
• Sample survey design, weighting, and analysis of complex survey data
• Market analysis, including segmentation and identification of target populations
• Data security and privacy

Advanced statistical methods

• Causal inference
• Bayesian and multilevel modeling
• Missing data methods
• High-dimensional data and small-sample settings
• Specialized data types: omics, imaging, and patient-reported outcomes

Capacity building and innovation

• Statistical communication for scientific and leadership teams: interpreting results and presenting them to boards, investors, and regulators
• Team training in reproducible and AI-assisted workflows
• Custom workshops and short courses tailored to your programs