Studies on your own clinical data.

Hospital records, a departmental registry, a completed trial, an audit, data you already hold, turned into a publishable study.

What it is

The data is already there. The paper is not.

Most departments sit on years of clinical data that never becomes a publication: records that were never extracted cleanly, a registry nobody analysed, a trial dataset with one paper written and three left in it. We design a retrospective cohort, case-control, or registry study around what you hold, clean and harmonise it, run the pre-specified analysis, and write the paper to STROBE or RECORD.

What it is built for

You provide, the dataset (anonymised) or access to extract it, ethics approval, and the clinical judgement.

We provide, study design, data dictionary and cleaning, analysis with reproducible code, manuscript, and submission.

Your data, NDA and data-processing agreement signed before anything moves, transfer by secure link only (never WhatsApp or email), encrypted storage, deletion at project close on request.

Designs, retrospective cohorts, case-control, registry analyses, secondary analyses of trial data, prognostic factor studies.

How it works

The method, in plain terms.

01

Audit the data

What is there, what is usable

02

Design

Cohort, case-control, or registry

03

Clean & harmonise

Dictionary, exclusions, missingness

04

Analyse

Regression, survival, matching

05

Sensitivity

Checks reviewers expect

06

Report

STROBE / RECORD, with code

How you benefit

Why authors start here.

The project, step by step

How a study on your data runs with Cohira.

Start with a free feasibility note →

1

Feasibility note

Send a description or a sample; we say what it can support.

2

Protocol

Design, outcomes, covariates, and a pre-specified analysis plan.

3

Clean & harmonise

A data dictionary, an exclusion log, and a dataset that can be re-used.

4

Analysis

Regression, survival, or matched analyses in reproducible code, with sensitivity checks.

5

Manuscript

Drafted with you to STROBE or RECORD, formatted to the target journal.

6

Submit & revise

Journal shortlist, submission package, and reviewer responses to a decision.

Published examples

What studies on institutional data look like in print.

Independent, peer-reviewed examples of what this route can produce.

JAMA Intern MedComparative cohort

Association between early treatment with tocilizumab and mortality among critically ill patients with COVID-19

Gupta S, et al. · 2021

A multicentre records-based cohort comparing treated and untreated patients with target-trial methods.

View in journal →
The LancetIllustrative example

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan: a retrospective cohort study

Zhou F, et al. · 2020

A two-hospital retrospective cohort of 191 patients, small data, rigorous design, landmark impact.

View in journal →
JAMAIllustrative example

Presenting characteristics, comorbidities, and outcomes among 5,700 patients hospitalized with COVID-19 in New York

Richardson S, et al. · 2020

A single health-system record review that became one of the most-cited clinical papers of the pandemic.

View in journal →
N Engl J MedResearch letter

Clinical characteristics of Covid-19 in New York City

Goyal P, et al. · 2020

A retrospective review of 393 consecutive patients from institutional records, published as a research letter.

View in journal →

These are independent published studies, shown to illustrate the route, they are not Cohira's work.

Pricing

One fee, from idea to publication.

Study on your clinical data, idea to publication
Protocol, analysis with reproducible code, manuscript, journal shortlist, submission, and reviewer responses.
$1,800per study

Per project, never per author. Raw exports needing heavy cleaning and harmonisation are scoped in the feasibility note. Your week-by-week timeline is written into the free feasibility note before you pay. Booking more than one study? 10% off the second, 15% off from the third. Acceptance Guarantee & group pricing →

More study types

TriNetXNIS / real-world dataNRD readmissionsGlobal Burden of DiseaseSEER cancer registryUK BiobankAI & ML prediction modelsMeta-analysisNetwork meta-analysesDiagnostic accuracy meta-analysesNarrative reviewsCross-sectional studiesSingle stages

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Sitting on a dataset?

Describe what you hold. You get a free feasibility note, what the data can support and where it could publish, before you commit.

Get a free feasibility note See all study types →