Clinical Development Statistical Strategy
Statistical consulting for clinical development: objectives, endpoints, populations, design options and evidence-generation strategy.
Study Design, Sample Size & Power
We translate a clinical or experimental question into an assessable design before data collection. Sample size follows the objective, meaningful effect and available assumptions.
What is included
- Define the population, outcome, estimand, comparison and unit of analysis.
- Assess sample size or precision, power and scenarios for attrition or dependence.
- Use simulation where appropriate; plan sampling and randomisation sequences against the protocol.
What you receive
- Study-design report and sample-size justification.
- Scenario tables and sensitivity to assumptions.
- Reproducible code and protocol recommendations.
Frequently asked questions
What if pilot data are unavailable?
We use available evidence and plausible ranges to present scenarios, identifying the assumptions driving the result and the information needed before fixing a sample size.
Related services
Statistical Analysis Plan Development
SAP authorship and updates for clinical studies: endpoints, estimands, populations, methods, sensitivity analyses and output specifications.
Trial Feasibility & Enrolment Scenarios
Data and assumption assessment for trial feasibility: eligibility, populations, follow-up and enrolment scenarios subject to validation.
Discuss your project
Describe the objective, study stage and deadline. We will confirm fit, deliverables, timing and a quote based on complexity and data quality.
Do not email patient, clinical or confidential study data. Access and the working environment are agreed before materials are shared.
Discuss your project