Clinical Study Design & Methodology

When this is needed

• You need clinical trial / study design before protocols are locked
• New studies need structured planning before heavy investment
• Protocols show gaps between objectives, endpoints and analysis
• Documentation must stay coherent for review pathways owned by the client
• Multi-stakeholder programmes need a single methodological narrative
• Adaptive, platform or complex designs need explicit operating characteristics and decision rules

How we work

We start from the decision the study must support, then work backward to design and documentation:

1. Objectives & constraints — population, interventions, outcomes, practical and ethical limits
2. Design options — trial/study design trade-offs made explicit for client decision
3. Protocols & study plans — drafting and structuring so endpoints, estimands and analysis link coherently
4. Cross-check — alignment with biostatistics and regulatory writing tracks
5. Handoff — client owns ethics, sponsorship and operational execution unless contracted otherwise

Programme stages: How we work. Statistical depth: Biostatistics.

Design types we commonly support

Engagements are scoped to the scientific question — not a fixed catalogue of “favourite” designs.

• Confirmatory interventional trials — parallel-group, factorial and related structures with clear primary estimands
• Early-phase and exploratory studies — dose-finding, proof-of-concept and pilot designs with transparent go/no-go logic
• Adaptive and sequential designs — planned looks, sample-size re-estimation and adaptation rules documented for protocol and SAP
• Observational and hybrid designs — cohort, case–control and pragmatic structures when evidence generation (not clinical care) is the goal
• Device and digital-health studies — performance, usability-adjacent and clinical evaluation designs that must stay consistent with intended use

Protocol and planning artefacts

• Objectives, endpoints and estimand framing suitable for protocol and analysis plans
• Population definitions (e.g. ITT / FAS / PP concepts as appropriate to the design)
• Randomisation and blinding concepts documented for operational handoff
• Interim / DSMB-facing decision frameworks owned by the client
• Alignment notes so clinical objectives, statistical methods and regulatory narrative do not diverge

In scope

• Clinical trial and study design (methodology advisory)
• Protocol and clinical study plan drafting / structuring
• Design option notes with explicit trade-offs for client decision
• Alignment with biostatistics and regulatory documentation tracks

Example deliverables

• Design option notes and recommendations for clinical programmes
• Protocol and study plan drafts or restructures
• Consistency reviews against analysis and RA needs
• Inputs to SAP / analysis planning when biostatistics is in the same engagement

Out of scope

• Acting as sponsor by default
• CRO-of-record unless defined in a specific contract
• Clinical care or acting as treating physician

FAQ

Do you replace a CRO?
Not by default. We provide methodology and documentation support; operational CRO roles exist only if a written contract defines them.

Related

Biostatistics · Regulatory support · Biotech & Pharma · Research organisations

For role boundaries (regulator, notified body, certification, outcomes), see Trust.