What you receive at handoff
Every statistical analysis service project ends with a fixed file list, agreed in the analysis plan and delivered together at the walkthrough call:
- Cleaned dataset in your preferred format (.sav for SPSS, .dta for Stata, .csv with codebook for R or Python).
- Annotated analysis script (.sps, .do, .R, or .ipynb) so the entire analysis is reproducible by anyone with the data.
- Output workbook containing every test, descriptive table, and assumption check we ran.
- Publication-ready figures in PNG and editable SVG or PDF for journal upload.
- APA, AMA, or Vancouver-formatted results section drop-in for your thesis or manuscript.
- Methods paragraph describing every test and software version, ready to paste into the methodology chapter.
- Walkthrough call recording (30 minutes, optional) covering every table and figure with a PhD statistician.
If the journal returns reviewer comments that affect the statistics, the first revision round is included in the original fee. We commit to the revision in writing before the project starts.
A typical doctoral thesis statistics package, sized at the middle tier, runs to roughly two weeks calendar from kickoff to walkthrough call:
| Day | Milestone |
|---|
| Day 0 | Free 30-minute discovery call. Confirm scope and software. |
| Day 1 | Dataset uploaded; NDA signed if requested. |
| Day 2 to 3 | Data audit complete. Missing-data patterns flagged, recoding decisions confirmed. |
| Day 4 | One-page analysis plan delivered for your approval. |
| Day 5 to 11 | Models run, diagnostics documented, results section drafted. |
| Day 12 | Files delivered, walkthrough call scheduled. |
| Day 14 | Walkthrough call; revisions queued if any. |
| Day 18 | Revisions delivered; project closed. |
Faster turnarounds are available when journal or grant deadlines require them. Share the deadline on the request a project quote and we confirm the revised schedule before you commit.
Some projects are right to run yourself; others are not. The honest decision matrix:
| Decision factor | Run it yourself | Hire a statistician |
|---|
| Single t-test or chi-square with clean data | Yes | No |
| Descriptive statistics for a survey | Yes | No |
| Multiple regression with clean data and limited interaction terms | Maybe | Maybe |
| Mediation, moderation, or PROCESS macro work | No | Yes |
| Mixed-effects or hierarchical models | No | Yes |
| Survival analysis with competing risks or time-varying covariates | No | Yes |
|
Free tools cover the first two rows comfortably. Use the linear regression calculator, confidence interval calculator, Cohen's d calculator, sample size calculator, and statistical power tool for the routine work. The PhD-led service is where the rows in the bottom half live.
"I had a longitudinal cohort study with three measurement waves and the reviewers wanted a mixed-effects model with random slopes. My department's stats consultant could not commit until the next semester. Research Gold delivered the lme4 fit, marginal and conditional R-squared, and the methods paragraph in 11 days. The reviewer signed off on the revision."
Doctoral candidate, public health, US R1 university (2026)
"Our team ran the systematic review ourselves but did not have anyone confident with metafor. The Research Gold statistician took our extracted data, ran the random-effects model, produced the forest plot and Egger test, wrote the methods, and delivered the script for the supplementary file. Submission window saved."
Lead author, BMC-indexed clinical journal (2026)
Do you charge by the hour?
No. Every project is fixed-fee, agreed before work starts. You see the full price before any data leaves your machine.
When do I pay?
After delivery for smaller projects. For larger projects we split into two milestones: 50% on analysis plan approval, 50% on walkthrough call. Payment via Stripe or PayPal in any major currency.
What if my data is messy?
We assume it is. The data audit on day 2 to 3 is where messy real-world data gets cleaned, recoded, and documented. If the data turns out to need fundamental restructuring, we flag it during the audit and propose either a revised scope or a refund of any prepayment.
Do you sign NDAs?
Yes, on request. We work with sensitive clinical and proprietary data routinely.
Do you handle the analysis only, or also the manuscript?
Both are options. Analysis-only projects deliver scripts, output, and figures. Analysis-plus-manuscript projects also deliver the full results section in APA, AMA, or Vancouver style and a methods paragraph. The latter is the more common pick.
Can you reproduce another statistician's analysis?
Yes. Reproducibility audits are a routine ask, often during peer review when reviewers question the original analysis. We rerun the models from raw data, document every difference, and flag whether the original was correct or needed adjustment.
What if the reviewers reject the paper after revision?
The first revision round is included in scope. Subsequent revision rounds are quoted as small fixed fees. We do not bill by the hour for reviewer comments.
Share your dataset, research questions, and software preference on the submit your scope for pricing. The reply includes a fixed-fee figure, the analysis plan outline, the file list, and the proposed timeline; usually within one business day. If your data comes from a questionnaire or poll, our survey data analysis service focuses on that workflow end to end. If your data is qualitative, our thematic analysis service handles coding and framework synthesis, and for broader study-design guidance you can work with a research consultant. Need the charts as well? Our figure preparation service turns the results into publication-quality figures.
Request a fixed quote for your statistical analysis project
"Mixed-effects modelling for a longitudinal cohort with missing data. Delivered annotated R code, a full APA-style results section, and a 30-minute walkthrough call. My supervisor signed off without further questions."
Verified Client, Doctoral Researcher, Public Health
"Survival analysis with competing risks in Stata for my cancer epidemiology paper. The walkthrough call was the most useful 30 minutes of statistics teaching I have had."
Verified Client, Research Fellow, Oncology
