Your dataset, analysed to a standard you can defend.

Your dataset, clean or raw. Fixed fee, defined deliverable, reproducible code.

Sample coefficient plot of a multivariable logistic regression

Statistical analysis

What you get, and how it runs.

From a clean, analysis-ready file or from raw exports that still need cleaning and harmonisation, descriptive statistics, the pre-specified comparisons, regression or survival models, sensitivity analyses, and publication-ready tables and figures. Everything is scripted, so every number in the paper can be traced to a line of code.

How it works

  1. You share the dataset (anonymised) and the protocol or the questions you want answered.
  2. We clean, code, and harmonise where needed, documenting every exclusion and recode.
  3. We run the analysis in R, Stata, SPSS, or Python, with the checks reviewers expect.
  4. You receive the results pack and a walkthrough call so you can present and defend it.

What you get

  • Cleaned dataset with a data dictionary and exclusion log
  • Publication-ready tables (baseline, outcomes, models) and figures
  • Methods and Results text describing exactly what was done
  • Reproducible code and a results walkthrough

$800 clean, analysis-ready dataset · typically 1 to 2 weeks

$1,000 raw dataset needing cleaning & harmonisation · typically 2 to 3 weeks

Send your dataset

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.