Analysis, data quality review, and results-formatting support for researchers, clinicians, and graduate students working with data they've already collected.
Request a QuoteQuotes available in USD and GBP · async-friendly, works across time zones
Support at any stage between raw data and a submitted results section -- you stay the author.
Descriptive and inferential statistics, regression, cohort/case-control analysis -- delivered in SPSS, STATA, R, or Python, whichever your committee or journal expects.
A structured pass for missing values, duplicates, invalid entries, and inconsistent coding before analysis starts -- so the numbers you publish hold up under review.
We work from your own analysis and draft to structure results tables and figures to match your target journal's format -- support for your writing, not a replacement for it.
STROBE, CONSORT, and PRISMA checklists prepared alongside your results, so submission isn't held up by a formatting gap.
Two examples of research support we've delivered. Institution details are withheld to protect client confidentiality.
A hospital research team had already collected NICU admission data and needed help turning it into a submission-ready results section. We ran the descriptive and outcome-factor analysis, built the results tables, and caught a data-entry inconsistency in the labor-duration variable during quality review -- before it reached a reviewer.
Supported a clinical research team through the final stretch of a study on treatment outcomes -- running the analysis, structuring the results and discussion around their own draft, and preparing the reporting checklist reviewers expect to see alongside it.
Tell us about your dataset and timeline and we'll scope the work and reply with a quote -- no account needed to reach out.
Start a Conversation