EditverseRegistry and real-world data study
from $450See levels and order
This service produces an observational study from an existing dataset, such as a national health survey or a disease registry, written as a journal manuscript with the code that generated every table. It is for clinicians and trainees who have a question the data can answer but not the analyst time.
Nothing is analysed until the analysis plan is agreed. The plan names the population, exposure, outcome, covariates, weights and models, and the manuscript reports against it.
Explore the clinical and biomedical specialties we cover for examples of registry and public dataset studies in surgery, oncology and public health.
Specification
- You provide
- The research question, the dataset you have in mind, your data-use approval where the registry requires one (for example NTDB or TQP), and the target journal.
- We do
- Test feasibility, write the analysis plan, prepare the analytic cohort, run the weighted or registry-appropriate models, and write the manuscript from the output.
- You receive
- Manuscript in Word, weighted tables, vector figures, runnable R or Stata code, analysis log and completed STROBE checklist.
- Reporting standard
- STROBE (2007), with RECORD (2015) for routinely collected health data and STROBE-MR (2021) for Mendelian randomisation.
- Turnaround
- 15 business days from the agreed analysis plan.
- Revision rounds
- 1 round.
- Team
- A statistician experienced in complex survey and registry data, a medical writer, and a subject-matter expert in the clinical question.
Levels by study stage and design
| Included | Feasibility assessment $450 | Single-database study $1,900 | Advanced design $2,900 |
|---|---|---|---|
| Scope | Can the dataset answer the question | One public dataset, such as NHANES | Mendelian randomisation |
| Variable availability, sample size and prior-publication check | |||
| Written analysis plan | Outline | ||
| Weighted or design-appropriate analysis with code | |||
| Tables and vector figures | |||
| Sensitivity analyses | As planned | Including pleiotropy checks | |
| Manuscript and reporting checklist | STROBE | STROBE-MR |
All levels include 1 revision round.
Registries that need a data-use agreement or linked files, such as SEER and NTDB or TQP, are quoted by database. Multi-database and extended designs are by quote.
How the work is checked
- Code rerun from raw files in a clean session before delivery; the tables in the manuscript are generated by that run, not typed.
- Weights, strata and cluster variables checked against the dataset documentation for the survey cycles used.
- Data-to-text check of every estimate, confidence interval and denominator in the abstract and results.
- STROBE checklist completed and attached; for Mendelian randomisation the instrumental-variable assumptions are stated and tested as STROBE-MR (2021) requires.
- Analysis log listing each deviation from the plan with the reason.
Not included
Applying for data access in your name, registry licence fees, and collection of new patient data. Analysis of your own clinical dataset is covered by Statistical analysis for clinical studies.
Ordering and payment
Order the level you need by invoice; many clients begin with the feasibility assessment and decide on the study after reading it. To see work before paying, use "Request this service", send the question, and pay after the first draft only if it meets your expectations. Outputs may be used once payment is made. Official invoices and receipts are issued for institutional or grant reimbursement.
Questions
What does the feasibility assessment tell me?
Whether the variables exist in the cycles you need, how many participants meet your criteria, whether the question has already been published on the same data, and an outline analysis plan.
Do I need my own data-use approval?
For open datasets such as NHANES, no. For registries that release data under an agreement, the approval must be in your name or your institution name, and the analysis is run within its terms.
Will I be able to rerun the analysis myself?
Yes. The R or Stata code is delivered with a short run order, and it reproduces every table and figure from the source files.
Can the code be shared with the journal?
Yes. It is yours to deposit or supply to reviewers once payment is made.
Part of Journal manuscripts. Related: Original research manuscript writing and Sample size, power and study design.
Order this service
from $450