What is statistical analysis and review?
A statistical review is an expert check of a manuscript’s study design, sample size, choice of statistical tests, assumptions, results and reporting, to confirm that the conclusions are supported by the analysis. Statistical analysis services go further and carry out the analysis on your data. Frontier Publishers’ PhD statisticians work in SPSS, R, Stata, SAS and NVivo and report to guidelines such as CONSORT, STROBE and PRISMA.
Service overview
Methodological and statistical weaknesses are among the most frequent reasons for rejection after peer review. A statistician checks whether the research design is accurate and complete, whether the sample size is sufficient, and whether the conclusions follow from the results.
For authors who have collected data but not yet analysed it, our statisticians run the analysis, produce publication-ready tables and figures, and write up the statistical methods and results sections to the reporting standard your journal expects.
What is included
- Study design and sample-size assessment
- Choice of statistical tests checked
- Assumptions and data suitability tested
- Results, p-values and confidence intervals verified
- Full data analysis in SPSS, R, Stata or SAS
- Qualitative analysis in NVivo
- Publication-ready tables and figures
- Reporting to CONSORT, STROBE and PRISMA
Who this service is for
Clinical and health researchers
Authors of trials, cohort and case-control studies who must meet strict reporting guidelines.
Authors with methods comments
Researchers whose reviewers have questioned the statistics, sample size or design.
Researchers without a statistician
Teams and students who have data but no in-house statistical expertise.
Our process
How our statistical analysis and review works
Why choose us
Why researchers choose Frontier Publishers
PhD statisticians
Biostatisticians, data analysts and methodologists with publishing experience in your field.
Fewer methods objections
Problems in design and analysis are found and fixed before peer review.
Standard software
Analysis in SPSS, R, Stata, SAS and NVivo, with reproducible output.
Reviewer support
A methods note you can quote, and help answering statistical comments.
Questions
Statistical analysis and review questions
It checks whether the research design is accurate and complete, whether the sample size is sufficient, whether the right tests were used and their assumptions met, whether results are reported correctly, and whether the conclusions are supported.
Yes. Our statisticians carry out quantitative analysis in SPSS, R, Stata or SAS and qualitative analysis in NVivo, and deliver tables, figures and a written methods and results section.
Yes. A PhD-qualified biologist, data analyst or engineer can help you reduce variability, calculate sample size and choose a design that supports the hypotheses you want to test.
Yes. Statisticians work under NDA, data is transferred securely, and files are deleted after the project on request.
Free assessment
Send your manuscript and target journal. An expert reviews it and replies with a recommended approach and a fixed quote, with no obligation.
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