A sample-size justification reviewers cannot pick apart.

With justification and code. Fixed fee, defined deliverable, reproducible code.

Sample power curves for three effect sizes with the 80% power line

Sample size & power calculation

What you get, and how it runs.

The calculation, the assumptions behind it, and where each assumption came from, written so that an ethics committee, a grant reviewer, or a journal referee can follow and reproduce it. Delivered with the code, so it can be re-run if the design changes.

How it works

  1. You tell us the primary outcome, the comparison, and the design.
  2. We source the effect size and variability from the literature or your pilot data, and state the choice.
  3. We calculate the required sample, with sensitivity to the key assumptions and allowance for dropout or clustering.
  4. You receive the written justification paragraph, ready to paste into the protocol or grant.

What you get

  • Sample-size / power calculation with sensitivity table
  • Written justification paragraph with references
  • Reproducible R or Stata code
  • Guidance if the achievable sample falls short

$350 per project · typically 3 to 5 working days

Request a calculation

How single-task work runs

Four steps from enquiry to delivery.

01

Send what you have

Dataset, draft, idea, or rejection letter

02

Scope

What the stage needs, within two working days

03

Fixed quote

Scope, timeline, fee in writing

04

Delivery

Deliverable, code, handover note

Test the fit at no cost

Send your area of interest, one idea, or one stalled dataset.

You get a short feasibility note, design, expected sample, realistic journals, free of charge.