Scope and pricing approach

Scope work around the decision and its complexity

A useful quotation connects the research decision, data readiness, method, responsibilities, milestones, deliverables, review cycles, and commercial terms. Fees are confirmed only after that scope is understood.

Engagement shapes

One focused decision or a connected project

These are common ways to structure support. They are not fixed packages or verified price promises.

Focused methodology consultation or second opinion

One defined statistical decision with relevant context reviewed in advance.

Typical scope elements

  • Research question or review point
  • Focused meeting or written review
  • Action and limitation notes
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Power and analysis plan

Study planning that connects estimands, design, measurement, analysis, and sample assumptions.

Typical scope elements

  • Question-to-variable map
  • Analysis and contingency plan
  • Power rationale and sensitivity
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Statistical analysis audit

Independent review of an existing plan, codebase, output, draft result, or AI-assisted workflow.

Typical scope elements

  • Priority methodological findings
  • Revised decision path
  • Reproducibility and reporting checks
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Results analysis project

A milestone-based path from data condition through analysis, diagnostics, interpretation, and handover.

Typical scope elements

  • Data and decision log
  • Code, diagnostics, tables, or figures
  • Interpretation and limitations
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Advanced modeling project

Specialist support for measurement, multilevel, survival, structural, missing-data, or predictive problems.

Typical scope elements

  • Model specification
  • Validation and sensitivity
  • Technical and stakeholder handover
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Research partnership or team support

Scoped quantitative capacity across several studies, milestones, or review cycles.

Typical scope elements

  • Agreed workstream and boundaries
  • Consistent review standards
  • Reusable documentation and handover
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What changes a quote

Complexity is more than the number of tests

Scope driver
What is assessed
Why it matters
Research complexity
Questions, constructs, outcomes, groups, time, dependence
Changes planning and model work
Data readiness
Documentation, coding, missingness, linkage, measurement
Changes preparation and uncertainty
Method and software
Specialist estimation, validation, environment constraints
Changes expertise and QA needs
Deliverables
Code, reports, figures, meetings, training, reviewer response
Changes production and handover
Timeline and review
Dependencies, stakeholders, milestones, revision cycles
Changes sequencing and availability

What a quotation should state

  • Decision and research question
  • Inputs and data-readiness assumptions
  • Responsibilities and exclusions
  • Deliverables and review milestones
  • Fee, currency, tax, and payment terms
  • Revision, delay, and secure-data expectations

What is never promised

  • Publication or approval
  • A grade or assessed outcome
  • Statistical significance
  • A predetermined result
  • A fixed turnaround before scope and availability are confirmed

Request a scope you can evaluate

Start with a non-confidential summary of the decision, current stage, available evidence, and milestone.

Discuss your research